15.3.3.5 Indoor Navigation Issues, Lines, Walls, Doors, Flat Surfaces

Chapter Contents (Back)
Indoor Navigation. Localization, Indoor.
See also Indoor Localization, Navigation Issues, Non-Image, Wi-Fi, Phone Positioning.
See also Building Interiors, Walls, Indoor Models.
See also Floorplans, Floor Plans, Building Interiors.

Saitoh, H.[Hiroshi], Noso, K.[Kazunori], Kurami, K.[Kunihiko], Kishi, N.[Norimasa],
System and method for calculating movement direction and position of an unmanned vehicle,
US_Patent4,819,169, Apr 4, 1989
WWW Link. Known features. BibRef 8904

Tomikawa, H.[Hisao], Okazaki, M.[Mamoru],
Method and apparatus for detecting traveling position and/or direction of an unmanned vehicle,
US_Patent4,847,774, Jul 11, 1989
WWW Link. Given markings BibRef 8907

Fujii, Y.[Yasuo], Hayashi, M.[Masahiko],
Boundary detecting method and apparatus for automatic working vehicle,
US_Patent4,868,752, Sep 19, 1989
WWW Link. Follow markings. BibRef 8909

Evans, Jr., J.M.[John M.], Weiman, C.F.R.[Carl F. R.], King, S.J.[Steven J.],
Mobile robot navigation employing ceiling light fixtures,
US_Patent4,933,864, Jun 12, 1990
WWW Link. BibRef 9006

Buffa, M., Faugeras, O.D., and Zhang, Z.,
Obstacle Avoidance and Trajectory Planning for an Indoor Mobile Robot Using Stereo Vision and Delaunay Triangulation,
VVG1992, Chapter 13, pp. 268-283. 3D map of the environment at about 1-5 Hz using a trinocular system. Used for obstacle avoidance and trajectory planning. BibRef 9200

Dulimarta, H.S.[Hansye S.], Jain, A.K.[Anil K.],
Mobile Robot Localization In Indoor Environment,
PR(30), No. 1, January 1997, pp. 99-111.
Elsevier DOI 9702
BibRef

Weng, J.Y., Chen, S.Y.,
Vision-Guided Navigation Using SHOSLIF,
NeurNet(11), No. 7-8, October/November 1998, pp. 1511-1529. 9811
BibRef

Chen, S.Y.[Shao-Yun], Weng, J.Y.[John Y.],
State-Based SHOSLIF for Indoor Visual Navigation,
ICPR98(Vol I: 482-484).
IEEE DOI 9808
BibRef

Chen, S.Y.[Shao-Yun], Weng, J.Y.[Ju-Yang],
Calibration for peripheral attenuation in intensity images,
ICIP94(II: 992-996).
IEEE DOI 9411
BibRef

Thrun, S.[Sebastian],
Learning metric-topological maps for indoor mobile robot navigation,
AI(99), No. 1, February 1998, pp. 21-71.
Elsevier DOI BibRef 9802

Thrun, S.[Sebastian], Bucken, A.[Arno],
Learning Maps for Indoor Mobile Robot Navigation,
CMU-CS-TR-96-121, April 1996.
PS File. BibRef 9604

Lookingbill, A., Rogers, J., Lieb, D., Curry, J., Thrun, S.[Sebastian],
Reverse Optical Flow for Self-Supervised Adaptive Autonomous Robot Navigation,
IJCV(74), No. 3, September 2007, pp. 287-302.
Springer DOI 0707
BibRef

Kim, D.[Dongsung], and Nevatia, R.[Ramakant],
Recognition and Localization of Generic Objects for Indoor Navigation Using Functionality,
IVC(16), No. 11, August 1 1998, pp. 729-743.
Elsevier DOI BibRef 9808 USC Computer Vision 9808
BibRef
Earlier:
Representation and Computation of the Spatial Environment for Indoor Navigation,
CVPR94(475-482).
IEEE DOI BibRef USC Computer Vision
PDF File. BibRef
And:
A Method for Recognition and Localization of Generic Objects for Indoor Navigation,
ARPA94(II:1069-1076). BibRef
And: WACV94(280-288).
IEEE Abstract.
PDF File. BibRef
Earlier:
Indoor Navigation without a Specific Map,
IAS93(xx). BibRef USC Computer Vision BibRef

Ku, C.H., Tsai, W.H.,
Obstacle Avoidance for Autonomous Land Vehicle Navigation in Indoor Environments by Quadratic Classifier,
SMC-B(29), No. 3, June 1999, pp. 416.
IEEE Top Reference. BibRef 9906

Tjan, B.S., Beckmann, P.J., Roy, R., Giudice, N., Legge, G.E.,
Digital Sign System for Indoor Wayfinding for the Visually Impaired,
VisImpaired05(III: 30-30).
IEEE DOI 0507
BibRef

Autio, I.[Ilkka], Elomaa, T.[Tapio],
Flexible view recognition for indoor navigation based on Gabor filters and support vector machines,
PR(36), No. 12, December 2003, pp. 2769-2779.
Elsevier DOI 0310
BibRef

Galindo, C., Fernandez-Madrigal, J.A., Gonzalez, J., Saffiotti, A., Buschka, P.,
Life-Long Optimization of the Symbolic Model of Indoor Environments for a Mobile Robot,
SMC-B(37), No. 5, October 2007, pp. 1290-1304.
IEEE DOI 0711
BibRef

Le Blanc, K., Saffiotti, A.,
Multirobot Object Localization: A Fuzzy Fusion Approach,
SMC-B(39), No. 5, October 2009, pp. 1259-1276.
IEEE DOI 0906
Sensor fusion, info from multiple sensors for localization. BibRef

Hu, J.S.[Jwu-Sheng], Liu, W.H.[Wei-Han], Cheng, C.C.[Chieh-Cheng],
Indoor sound field feature matching for robot's location and orientation detection,
PRL(29), No. 1, 15 January 2008, pp. 149-160.
Elsevier DOI 0711
GMM; Robot localization; Robot's orientation detection BibRef

Lee, J.[Jihyo], Ko, H.S.[Han-Seok],
Gradient-based local affine invariant feature extraction for mobile robot localization in indoor environments,
PRL(29), No. 14, October 2008, pp. 1934-1940.
Elsevier DOI 0804
Local feature extraction; Affine invariant; 3D rotation; Translation BibRef

Rodrigo, R., Zouqi, M., Chen, Z., Samarabandu, J.,
Robust and Efficient Feature Tracking for Indoor Navigation,
SMC-B(39), No. 3, June 2009, pp. 658-671.
IEEE DOI 0904
BibRef

Wu, J.X.[Jian-Xin], Rehg, J.M.[James M.],
CENTRIST: A Visual Descriptor for Scene Categorization,
PAMI(33), No. 8, August 2011, pp. 1489-1501.
IEEE DOI 1107
BibRef
Earlier:
Beyond the Euclidean distance: Creating effective visual codebooks using the Histogram Intersection Kernel,
ICCV09(630-637).
IEEE DOI 0909
BibRef
Earlier:
Where am I: Place instance and category recognition using spatial PACT,
CVPR08(1-8).
IEEE DOI 0806
CENsus TRansform hISTogram. Visual descriptor for topological places. Indoor environments. BibRef

Wu, J.X., Liu, N., Geyer, C., Rehg, J.M.,
C^4: A Real-Time Object Detection Framework,
IP(22), No. 10, 2013, pp. 4096-4107.
IEEE DOI 1309
System, CENTRIST. CENsus TRansform hISTogram. CENTRIST; Object detection; real-time without GPU. Contour based recognition. BibRef

Seok, H.S., Hwang, K.B., Zhang , B.T.,
Feature Relevance Network-Based Transfer Learning for Indoor Location Estimation,
SMC-C(41), No. 5, September 2011, pp. 711-719.
IEEE DOI 1109
BibRef

Feng, Y.[Yue], Ren, J.C.[Jin-Chang], Jiang, J.M.[Jian-Min], Halvey, M.[Martin], Jose, J.M.[Joemon M.],
Effective venue image retrieval using robust feature extraction and model constrained matching for mobile robot localization,
MVA(23), No. 5, September 2012, pp. 1011-1027.
WWW Link. 1208
BibRef

Bacca Cortes, B., Cufi Sole, X., Salvi, J.,
Vertical edge-based mapping using range-augmented omnidirectional vision sensor,
IET-CV(7), No. 2, 2013, pp. xx-yy.
DOI Link 1307
BibRef
Earlier:
Indoor SLAM using a range-augmented omnidirectional vision,
OMNIVIS11(280-287).
IEEE DOI 1201
BibRef

Filonenko, V.[Viacheslav], Cullen, C.[Charlie], Carswell, J.D.[James D.],
Indoor Positioning for Smartphones Using Asynchronous Ultrasound Trilateration,
IJGI(2), No. 3, 2013, pp. 598-620.
DOI Link 1307
BibRef

Corso, N.[Nicholas], Zakhor, A.[Avideh],
Indoor Localization Algorithms for an Ambulatory Human Operated 3D Mobile Mapping System,
RS(5), No. 12, 2013, pp. 6611-6646.
DOI Link 1402
BibRef

Zhang, D.[Dong], Lee, D.J.[Dah-Jye], Taylor, B.[Brandon],
Seeing Eye Phone: a smart phone-based indoor localization and guidance system for the visually impaired,
MVA(25), No. 3, April 2014, pp. 811-822.
WWW Link. 1404
BibRef

Taylor, B.[Brandon], Lee, D.J.[Dah-Jye], Zhang, D.[Dong], Xiong, G.M.[Guang-Ming],
Smart phone-based Indoor guidance system for the visually impaired,
ICARCV12(871-876).
IEEE DOI 1304
BibRef

Lan, K.C.[Kun-Chan], Shih, W.Y.[Wen-Yuah],
Using Smart-Phones and Floor Plans for Indoor Location Tracking,
HMS(44), No. 2, April 2014, pp. 211-221.
IEEE DOI 1404
BibRef
And: Correction: HMS(45), No. 2, April 2015, p. 280.
IEEE DOI 1503
Smart phones; Tracking. Global Positioning System BibRef

Teuliere, C., Marchand, E., Eck, L.,
3-D Model-Based Tracking for UAV Indoor Localization,
Cyber(45), No. 5, May 2015, pp. 869-879.
IEEE DOI 1505
Cameras BibRef

Zhou, B.D.[Bao-Ding], Li, Q.Q.[Qing-Quan], Mao, Q.Z.[Qing-Zhou], Tu, W.[Wei], Zhang, X.[Xing],
Activity Sequence-Based Indoor Pedestrian Localization Using Smartphones,
HMS(45), No. 5, October 2015, pp. 562-574.
IEEE DOI 1509
Acceleration BibRef

Zhou, B.D.[Bao-Ding], Li, Q.Q.[Qing-Quan], Mao, Q.Z.[Qing-Zhou], Tu, W.[Wei], Zhang, X.[Xing], Chen, L.[Long],
ALIMC: Activity Landmark-Based Indoor Mapping via Crowdsourcing,
ITS(16), No. 5, October 2015, pp. 2774-2785.
IEEE DOI 1511
estimation theory BibRef

Rivera-Rubio, J.[Jose], Alexiou, I.[Ioannis], Bharath, A.A.[Anil A.],
Appearance-based indoor localization: A comparison of patch descriptor performance,
PRL(66), No. 1, 2015, pp. 109-117.
Elsevier DOI 1511
Visual localization BibRef

Hassan, N.U.[Naveed Ul], Naeem, A.[Aqsa], Pasha, M.A.[Muhammad Adeel], Jadoon, T.[Tariq], Yuen, C.[Chau],
Indoor Positioning Using Visible LED Lights: A Survey,
Surveys(48), No. 2, November 2015, pp. Article No 20.
DOI Link 1512
Visible light LEDs, due to their numerous advantages, are expected to become the dominant indoor lighting technology. These lights can also be switched ON/OFF at high frequency, enabling their additional use for wireless communication and indoor positioning. BibRef

Sabirin, H.[Houari], Sankoh, H.[Hiroshi], Naito, S.[Sei],
Utilizing Attributed Graph Representation in Object Detection and Tracking for Indoor Range Sensor Surveillance Cameras,
IEICE(E98-D), No. 12, December 2015, pp. 2299-2307.
WWW Link. 1601
BibRef

Liu, L.[Liu], Zlatanova, S.[Sisi],
An Approach for Indoor Path Computation among Obstacles that Considers User Dimension,
IJGI(4), No. 4, 2015, pp. 2821.
DOI Link 1601
BibRef

Wang, J.[Jian], Hu, A.D.[An-Dong], Li, X.[Xin], Wang, Y.[Yan],
An Improved PDR/Magnetometer/Floor Map Integration Algorithm for Ubiquitous Positioning Using the Adaptive Unscented Kalman Filter,
IJGI(4), No. 4, 2015, pp. 2638.
DOI Link 1601
BibRef

Wang, Y.[Yan], Li, X.[Xin],
The IMU/UWB Fusion Positioning Algorithm Based on a Particle Filter,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Wang, Y.[Yan], Li, X.[Xin],
Graph-Optimization-Based ZUPT/UWB Fusion Algorithm,
IJGI(7), No. 1, 2018, pp. xx-yy.
DOI Link 1801
BibRef

Li, X.[Xin], Wang, J.[Jian], Liu, C.Y.[Chun-Yan], Zhang, L.W.[Li-Wen], Li, Z.K.[Zheng-Kui],
Integrated WiFi/PDR/Smartphone Using an Adaptive System Noise Extended Kalman Filter Algorithm for Indoor Localization,
IJGI(5), No. 2, 2016, pp. 8.
DOI Link 1603
BibRef

Liu, F.[Fei], Li, X.[Xin], Wang, J.[Jian], Zhang, J.X.[Ji-Xian],
An Adaptive UWB/MEMS-IMU Complementary Kalman Filter for Indoor Location in NLOS Environment,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Li, Z.[Zengke], Liu, C.Y.[Chun-Yan], Gao, J.X.[Jing-Xiang], Li, X.[Xin],
An Improved WiFi/PDR Integrated System Using an Adaptive and Robust Filter for Indoor Localization,
IJGI(5), No. 12, 2016, pp. 224.
DOI Link 1612
BibRef

Li, X.[Xin], Wang, J.[Jian], Liu, C.Y.[Chun-Yan],
Heading Estimation with Real-time Compensation Based on Kalman Filter Algorithm for an Indoor Positioning System,
IJGI(5), No. 6, 2016, pp. 98.
DOI Link 1608
BibRef

Xie, Y., Wang, Y., Nallanathan, A., Wang, L.,
An Improved K-Nearest-Neighbor Indoor Localization Method Based on Spearman Distance,
SPLetters(23), No. 3, March 2016, pp. 351-355.
IEEE DOI 1603
RSSI BibRef

He, R., Wang, Y., Tao, Q., Cai, J., Duan, L.,
Efficient image retrieval based mobile indoor localization,
VCIP15(1-4)
IEEE DOI 1605
Cameras BibRef

Kim, J.S.[Joon-Seok], Li, K.J.[Ki-Joune],
Location K-anonymity in indoor spaces,
GeoInfo(20), No. 3, July 2016, pp. 415-451.
WWW Link. 1605
BibRef

Lai, Y.C.[Ying-Chih], Chang, C.C.[Chin-Chia], Tsai, C.M.[Chia-Ming], Huang, S.C.[Shih-Ching], Chiang, K.W.[Kai-Wei],
A Knowledge-Based Step Length Estimation Method Based on Fuzzy Logic and Multi-Sensor Fusion Algorithms for a Pedestrian Dead Reckoning System,
IJGI(5), No. 5, 2016, pp. 70.
DOI Link 1606
BibRef

Lai, Y.C.[Ying-Chih], Chang, C.C.[Chin-Chia], Tsai, C.M.[Chia-Ming], Lin, S.Y., Huang, S.C.[Shih-Ching],
Development of a Pedestrian Indoor Navigation System Based on Multi-Sensor Fusion and Fuzzy Logic Estimation Algorithms,
Seamless15(81-86).
DOI Link 1508
BibRef

de Angelis, G., Moschitta, A., Carbone, P.,
Positioning Techniques in Indoor Environments Based on Stochastic Modeling of UWB Round-Trip-Time Measurements,
ITS(17), No. 8, August 2016, pp. 2272-2281.
IEEE DOI 1608
Atmospheric measurements BibRef

Premchaisawatt, S.[Shutchon], Ruangchaijatupon, N.[Nararat],
The Novel Performance Evaluation Method of the Fingerprinting-Based Indoor Positioning,
IEICE(E99-D), No. 8, August 2016, pp. 2131-2139.
WWW Link. 1608
BibRef

Song, C.J.[Chun-Jing], Wang, J.[Jian], Yuan, G.[Guan],
Hidden Naive Bayes Indoor Fingerprinting Localization Based on Best-Discriminating AP Selection,
IJGI(5), No. 10, 2016, pp. 189.
DOI Link 1610
BibRef

Song, C.J.[Chun-Jing], Wang, J.[Jian],
WLAN Fingerprint Indoor Positioning Strategy Based on Implicit Crowdsourcing and Semi-Supervised Learning,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Piciarelli, C.,
Visual Indoor Localization in Known Environments,
SPLetters(23), No. 10, October 2016, pp. 1330-1334.
IEEE DOI 1610
feature extraction BibRef

Ballardini, A.L., Ferretti, L., Fontana, S., Furlan, A., Sorrenti, D.G.,
An Indoor Localization System for Telehomecare Applications,
SMCS(46), No. 10, October 2016, pp. 1445-1455.
IEEE DOI 1610
Bayes methods BibRef

Zhu, Q.[Qing], Li, Y.[Yun], Xiong, Q.[Qing], Zlatanova, S.[Sisi], Ding, Y.L.[Yu-Lin], Zhang, Y.T.[Ye-Ting], Zhou, Y.[Yan],
Indoor Multi-Dimensional Location GML and Its Application for Ubiquitous Indoor Location Services,
IJGI(5), No. 12, 2016, pp. 220.
DOI Link 1612
BibRef

Alhammadi, A.[Abdulraqeb], Alias, M.Y.[Mohamad Yusoff], Tan, S.W.[Su-Wei], Sapumohotti, C.[Chamal],
An enhanced localisation system for indoor environment using clustering technique,
IJCVR(7), No. 1/2, 2017, pp. 83-98.
DOI Link 1701
BibRef

Chiang, K.W.[Kai-Wei], Liao, J.K.[Jhen-Kai], Huang, S.H.[Shih-Huan], Chang, H.W.[Hsiu-Wen], Chu, C.H.[Chien-Hsun],
The Performance Analysis of Space Resection-Aided Pedestrian Dead Reckoning for Smartphone Navigation in a Mapped Indoor Environment,
IJGI(6), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Chiabrando, F.[Filiberto], di Pietra, V.[Vincenzo], Lingua, A.[Andrea], Cho, Y.[Youngsu], Jeon, J.[Juil],
An Original Application of Image Recognition Based Location in Complex Indoor Environments,
IJGI(6), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Liu, Z., Zhang, L., Liu, Q., Yin, Y., Cheng, L., Zimmermann, R.,
Fusion of Magnetic and Visual Sensors for Indoor Localization: Infrastructure-Free and More Effective,
MultMed(19), No. 4, April 2017, pp. 874-888.
IEEE DOI 1704
Buildings BibRef

Zhu, D.C.[Dong-Chen], Xing, Z.[Ziran], Li, J.M.[Jia-Mao], Gu, Y.Z.[Yu-Zhang], Zhang, X.L.[Xiao-Lin],
Effective Indoor Localization and 3D Point Registration Based on Plane Matching Initialization,
IEICE(E100-D), No. 6, June 2017, pp. 1316-1324.
WWW Link. 1706
BibRef

Fellner, I.[Irene], Huang, H.S.[Hao-Sheng], Gartner, G.[Georg],
'Turn Left after the WC, and Use the Lift to Go to the 2nd Floor' Generation of Landmark-Based Route Instructions for Indoor Navigation,
IJGI(6), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Zhou, Y.[Yan], Zheng, X.W.[Xian-Wei], Xiong, H.J.[Han-Jiang], Chen, R.Z.[Rui-Zhi],
Robust Indoor Mobile Localization with a Semantic Augmented Route Network Graph,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Lu, G.Y.[Guo-Yu], Yan, Y.[Yan], Sebe, N.[Nicu], Kambhamettu, C.[Chandra],
Indoor localization via multi-view images and videos,
CVIU(161), No. 1, 2017, pp. 145-160.
Elsevier DOI 1708
BibRef
Earlier:
Knowing Where I Am: Exploiting Multi-Task Learning for Multi-view Indoor Image-based Localization,
BMVC14(xx-yy).
HTML Version. 1410
Vision-based localization. BibRef

Lu, G.Y.[Guo-Yu], Yan, Y.[Yan], Kolagunda, A.[Abhishek], Kambhamettu, C.[Chandra],
A Fast 3D Indoor-Localization Approach Based on Video Queries,
MMMod16(II: 218-230).
Springer DOI 1601
BibRef

Lymberopoulos, D., Liu, J.,
The Microsoft Indoor Localization Competition: Experiences and Lessons Learned,
SPMag(34), No. 5, September 2017, pp. 125-140.
IEEE DOI 1709
Fingerprint recognition, Industries, Wireless communication, Wireless fidelity, Wireless, sensor, networks BibRef

Burigat, S., Chittaro, L., Sioni, R.,
Mobile Three-Dimensional Maps for Wayfinding in Large and Complex Buildings: Empirical Comparison of First-Person Versus Third-Person Perspective,
HMS(47), No. 6, December 2017, pp. 1029-1039.
IEEE DOI 1712
Buildings, Data visualization, Indoor navigation, Mobile communication, Indoor, mobile, wayfinding BibRef

Alattas, A.[Abdullah], Zlatanova, S.[Sisi], van Oosterom, P.[Peter], Chatzinikolaou, E.[Efstathia], Lemmen, C.[Christiaan], Li, K.J.[Ki-Joune],
Supporting Indoor Navigation Using Access Rights to Spaces Based on Combined Use of IndoorGML and LADM Models,
IJGI(6), No. 12, 2017, pp. xx-yy.
DOI Link 1801
BibRef

Galván-Tejada, C.E.[Carlos E.], López-Monteagudo, F.E., Alonso-González, O., Galván-Tejada, J.I.[Jorge I.], Celaya-Padilla, J.M.[José M.], Gamboa-Rosales, H.[Hamurabi], Magallanes-Quintanar, R.[Rafael], Zanella-Calzada, L.A.[Laura A.],
A Generalized Model for Indoor Location Estimation Using Environmental Sound from Human Activity Recognition,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Wei, H., Wang, L.,
Visual Navigation Using Projection of Spatial Right-Angle In Indoor Environment,
IP(27), No. 7, July 2018, pp. 3164-3177.
IEEE DOI 1805
image colour analysis, image reconstruction, image segmentation, image sensors, object recognition, visual navigation BibRef

Jung, S.H., Lee, G., Han, D.,
Methods and Tools to Construct a Global Indoor Positioning System,
SMCS(48), No. 6, June 2018, pp. 906-919.
IEEE DOI 1805
Buildings, Calibration, Crowdsourcing, Hidden Markov models, IEEE 802.11 Standard, Roads, Urban areas, Crowdsourcing, zero-effort site survey BibRef

Kim, K.[Kwangseob], Lee, K.[Kiwon],
Handling Points of Interest (POIs) on a Mobile Web Map Service Linked to Indoor Geospatial Objects: A Case Study,
IJGI(7), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Han, K.[Ke], Xing, H.S.[Hua-Shuai], Deng, Z.L.[Zhong-Liang], Du, Y.C.[Yi-Chen],
A RSSI/PDR-Based Probabilistic Position Selection Algorithm with NLOS Identification for Indoor Localisation,
IJGI(7), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Chen, J.[Jian], Ou, G.[Gang], Peng, A.[Ao], Zheng, L.X.[Ling-Xiang], Shi, J.H.[Jiang-Hong],
An INS/Floor-Plan Indoor Localization System Using the Firefly Particle Filter,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Feng, G.Y.[Guan-Yuan], Ma, L.[Lin], Tan, X.Z.[Xue-Zhi], Qin, D.Y.[Dan-Yang],
Drift-Aware Monocular Localization Based on a Pre-Constructed Dense 3D Map in Indoor Environments,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Wu, Z., Xu, Q., Li, J., Fu, C., Xuan, Q., Xiang, Y.,
Passive Indoor Localization Based on CSI and Naive Bayes Classification,
SMCS(48), No. 9, September 2018, pp. 1566-1577.
IEEE DOI 1809
Bayes methods, indoor radio, pattern classification, channel state information, multipath effect, passive BibRef

Zhu, J.S.[Jia-Song], Li, Q.[Qing], Cao, R.[Rui], Sun, K.[Ke], Liu, T.[Tao], Garibaldi, J.M.[Jonathan M.], Li, Q.Q.[Qing-Quan], Liu, B.[Bozhi], Qiu, G.P.[Guo-Ping],
Indoor Topological Localization Using a Visual Landmark Sequence,
RS(11), No. 1, 2019, pp. xx-yy.
DOI Link 1901
BibRef

Acharya, D.[Debaditya], Khoshelham, K.[Kourosh], Winter, S.[Stephan],
BIM-PoseNet: Indoor camera localisation using a 3D indoor model and deep learning from synthetic images,
PandRS(150), 2019, pp. 245-258.
Elsevier DOI 1903
Indoor localisation, Camera pose regression, 3D building models, BIM, Deep learning, Synthetic images BibRef

Acharya, D.[Debaditya], Tatli, C.J.[Christopher James], Khoshelham, K.[Kourosh],
Synthetic-real image domain adaptation for indoor camera pose regression using a 3D model,
PandRS(202), 2023, pp. 405-421.
Elsevier DOI 2308
Camera pose regression, Domain adaptation, Generative adversarial networks, Indoor localisation, Image style transfer BibRef

Liu, L.[Liu], Zlatanova, S.[Sisi], Li, B.F.[Bo-Feng], van Oosterom, P.[Peter], Liu, H.[Hua], Barton, J.[Jack],
Indoor Routing on Logical Network Using Space Semantics,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Yan, J.[Jun], Zhu, B.C.[Bing-Cheng], Chen, L.[Liang], Wang, J.[Jin], Liu, J.B.[Jing-Bin],
Error Analysis on Indoor Localization with Visible Light Communication,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Acharya, D.[Debaditya], Ramezani, M.[Milad], Khoshelham, K.[Kourosh], Winter, S.[Stephan],
BIM-Tracker: A model-based visual tracking approach for indoor localisation using a 3D building model,
PandRS(150), 2019, pp. 157-171.
Elsevier DOI 1903
Indoor localisation, 3D model-based visual tracking, 3D building models, Trajectory analysis, Edge-based image matching BibRef

Lewandowicz, E.[Elzbieta], Lisowski, P.[Przemyslaw], Flisek, P.[Pawel],
A Modified Methodology for Generating Indoor Navigation Models,
IJGI(8), No. 2, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Jian, H.D.[Hong-Deng], Fan, X.T.[Xiang-Tao], Liu, J.[Jian], Jin, Q.W.[Qing-Wen], Kang, X.J.[Xu-Jie],
A Quaternion-Based Piecewise 3D Modeling Method for Indoor Path Networks,
IJGI(8), No. 2, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Lv, W., Kang, Y., Qin, J.,
Indoor Localization for Skid-Steering Mobile Robot by Fusing Encoder, Gyroscope, and Magnetometer,
SMCS(49), No. 6, June 2019, pp. 1241-1253.
IEEE DOI 1906
Mobile robots, Robot sensing systems, Magnetometers, Kinematics, Gyroscopes, Dead reckoning, Dead reckoning, kinematics, localization, skid-steering mobile robot BibRef

Afzalan, M.[Milad], Jazizadeh, F.[Farrokh],
Indoor Positioning Based on Visible Light Communication: A Performance-based Survey of Real-world Prototypes,
Surveys(51), No. 1, February 2019, pp. Article No 35.
DOI Link 1906
BibRef

Díaz-Vilarińo, L.[Lucía], Boguslawski, P.[Pawel], Khoshelham, K.[Kourosh], Lorenzo, H.[Henrique],
Obstacle-Aware Indoor Pathfinding Using Point Clouds,
IJGI(8), No. 5, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Gu, F.Q.A.[Fu-Qi-Ang], Hu, X.[Xuke], Ramezani, M.[Milad], Acharya, D.[Debaditya], Khoshelham, K.[Kourosh], Valaee, S.[Shahrokh], Shang, J.[Jianga],
Indoor Localization Improved by Spatial Context: A Survey,
Surveys(52), No. 2, May 2019, pp. Article No 64.
DOI Link 1908
BibRef

Winter, S.[Stephan], Tomko, M.[Martin], Vasardani, M.[Maria], Richter, K.F.[Kai-Florian], Khoshelham, K.[Kourosh], Kalantari, M.[Mohsen],
Infrastructure-Independent Indoor Localization and Navigation,
Surveys(52), No. 2, May 2019, pp. Article No 61.
DOI Link 1908
BibRef

Snopková, D.[Dajana], Švedová, H.[Hana], Kubícek, P.[Petr], Stachon, Z.[Zdenek],
Navigation in Indoor Environments: Does the Type of Visual Learning Stimulus Matter?,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Liu, T.[Tao], Zhang, X.[Xing], Li, Q.Q.[Qing-Quan], Fang, Z.X.[Zhi-Xiang], Tahir, N.[Nadeem],
An Accurate Visual-Inertial Integrated Geo-Tagging Method for Crowdsourcing-Based Indoor Localization,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Wang, R.Z.[Run-Zhi], Wan, W.H.[Wen-Hui], Di, K.C.[Kai-Chang], Chen, R.[Ruilin], Feng, X.X.[Xiao-Xue],
A High-Accuracy Indoor-Positioning Method with Automated RGB-D Image Database Construction,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Sun, T.[Ting], Song, D.Z.[De-Zhen], Yeung, D.Y.[Dit-Yan], Liu, M.[Ming],
Semi-semantic Line-cluster Assisted Monocular SLAM for Indoor Environments,
CVS19(63-74).
Springer DOI 1912
BibRef

Khan, D.[Dawar], Ullah, S.[Sehat], Nabi, S.[Syed],
A Generic Approach toward Indoor Navigation and Pathfinding with Robust Marker Tracking,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Vedadi, F., Valaee, S.,
Automatic Visual Fingerprinting for Indoor Image-Based Localization Applications,
SMCS(50), No. 1, January 2020, pp. 305-317.
IEEE DOI 2001
Visualization, Cameras, Estimation, Buildings, Tracking, Robustness, Training, Automatic visual fingerprinting (AVF), indoor localization BibRef

Malekzadeh, P., Mohammadi, A., Barbulescu, M., Plataniotis, K.N.,
STUPEFY: Set-Valued Box Particle Filtering for Bluetooth Low Energy-Based Indoor Localization,
SPLetters(26), No. 12, December 2019, pp. 1773-1777.
IEEE DOI 2001
Bluetooth, indoor radio, Internet of Things, Kalman filters, learning (artificial intelligence), Particle Filter BibRef

Li, Q.[Qing], Zhu, J.[Jiasong], Liu, J.[Jun], Cao, R.[Rui], Fu, H.[Hao], Garibaldi, J.M.[Jonathan M.], Li, Q.Q.[Qing-Quan], Liu, B.[Bozhi], Qiu, G.P.[Guo-Ping],
3D map-guided single indoor image localization refinement,
PandRS(161), 2020, pp. 13-26.
Elsevier DOI 2002
Single image indoor localization, Depth prediction, 3D Geometry matching BibRef

Tsai, T.H.[Tsung-Han], Chang, C.H.[Chih-Hao], Chen, S.W.[Shih-Wei], Yao, C.H.[Chia-Hsiang],
Design of vision-based indoor positioning based on embedded system,
IET-IPR(14), No. 3, 28 February 2020, pp. 423-430.
DOI Link 2002
BibRef

Park, S.[Seula], Yu, K.[Kiyun], Kim, J.Y.[Ji-Young],
Data Model for IndoorGML Extension to Support Indoor Navigation of People with Mobility Disabilities,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Lu, E.H.C.[Eric Hsueh-Chan], Ciou, J.M.[Jing-Mei],
Integration of Convolutional Neural Network and Error Correction for Indoor Positioning,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Fang, H.[Hao], Xin, S.W.[Shi-Wei], Zhang, Y.L.[Yan-Lin], Wang, Z.[Zhong], Zhu, J.[Jing],
Assessing the Influence of Landmarks and Paths on the Navigational Efficiency and the Cognitive Load of Indoor Maps,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Wang, X.[Xuan], Chen, G.L.[Guo-Liang], Yang, M.Y.[Meng-Yi], Jin, S.Z.[Sai-Zhou],
A Multi-Mode PDR Perception and Positioning System Assisted by Map Matching and Particle Filtering,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
PDR: Pedestrian dead reckoning for indoor positioning. BibRef

Liu, F.[Fei], Zhang, J.X.[Ji-Xian], Wang, J.[Jian], Li, B.H.[Bing-Hao],
The Indoor Localization of a Mobile Platform Based on Monocular Vision and Coding Images,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Vanhaeren, N.[Nina], de Cock, L.[Laure], Lapon, L.[Lieselot], van de Weghe, N.[Nico], Ooms, K.[Kristien], de Maeyer, P.[Philippe],
On the Right Track: Comfort and Confusion in Indoor Environments,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Li, M.[Ming], Chen, R.Z.[Rui-Zhi], Liao, X.[Xuan], Guo, B.X.[Bing-Xuan], Zhang, W.L.[Wei-Long], Guo, G.[Ge],
A Precise Indoor Visual Positioning Approach Using a Built Image Feature Database and Single User Image from Smartphone Cameras,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Galván-Tejada, C.E.[Carlos E.], Zanella-Calzada, L.A.[Laura A.], García-Domínguez, A.[Antonio], Magallanes-Quintanar, R.[Rafael], Luna-García, H.[Huizilopoztli], Celaya-Padilla, J.M.[Jose M.], Galván-Tejada, J.I.[Jorge I.], Vélez-Rodríguez, A.[Alberto], Gamboa-Rosales, H.[Hamurabi],
Estimation of Indoor Location Through Magnetic Field Data: An Approach Based On Convolutional Neural Networks,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Kubícková, H.[Hana], Jedlicka, K.[Karel], Fiala, R.[Radek], Beran, D.[Daniel],
Indoor Positioning Using PnP Problem on Mobile Phone Images,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
BibRef

de Leeuw, D.[Dries], de Maeyer, P.[Philippe], de Cock, L.[Laure],
A Gamification-Based Approach on Indoor Wayfinding Research,
IJGI(9), No. 7, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Tekavec, J.[Jernej], Lisec, A.[Anka],
3D Geometry-Based Indoor Network Extraction for Navigation Applications Using SFCGAL,
IJGI(9), No. 7, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Kanellakis, C.[Christoforos], Mansouri, S.S.[Sina Sharif], Castańo, M.[Miguel], Karvelis, P.[Petros], Kominiak, D.[Dariusz], Nikolakopoulos, G.,
Where to look: a collection of methods forMAV heading correction in underground tunnels,
IET-IPR(14), No. 10, August 2020, pp. 2020-2027.
DOI Link 2008
BibRef

Ngamakeur, K.[Kan], Yongchareon, S.[Sira], Yu, J.[Jian], Ur Rehman, S.[Saeed],
A Survey on Device-Free Indoor Localization and Tracking in the Multi-Resident Environment,
Surveys(53), No. 4, July 2020, pp. xx-yy.
DOI Link 2010
Device-free, indoor tracking, multi-resident, non-intrusive, indoor localization BibRef

Liu, J.H.[Jian-Hua], Luo, J.Y.[Jing-Yan], Hou, J.[Jiwei], Wen, D.Q.[Dan-Qi], Feng, G.Q.[Guo-Qiang], Zhang, X.[Xu],
A BIM Based Hybrid 3D Indoor Map Model for Indoor Positioning and Navigation,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Yang, J.T.[Jun-Tao], Kang, Z.Z.[Zhi-Zhong], Zeng, L.P.[Li-Ping], Hope Akwensi, P.[Perpetual], Sester, M.[Monika],
Semantics-guided reconstruction of indoor navigation elements from 3D colorized points,
PandRS(173), 2021, pp. 238-261.
Elsevier DOI 2102
IndoorGML, Indoor scene interpretation, Space subdivision, Indoor navigation network, RGB-D sensor BibRef

Taira, H.[Hajime], Okutomi, M.[Masatoshi], Sattler, T.[Torsten], Cimpoi, M.[Mircea], Pollefeys, M.[Marc], Sivic, J.[Josef], Pajdla, T.[Tomas], Torii, A.[Akihiko],
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis,
PAMI(43), No. 4, April 2021, pp. 1293-1307.
IEEE DOI 1806
BibRef
Earlier: CVPR18(7199-7209)
IEEE DOI 1812
Visualization, Cameras, Pose estimation, Buildings, Databases, Feature extraction, view synthesis. Lighting, Distributed databases BibRef

del-Blanco, C.R.[Carlos R.], Carballeira, P.[Pablo], Jaureguizar, F.[Fernando], García, N.[Narciso],
Robust people indoor localization with omnidirectional cameras using a Grid of Spatial-Aware Classifiers,
SP:IC(93), 2021, pp. 116135.
Elsevier DOI 2103
Spatial grid, Spatial-aware classifiers, Omnidirectional cameras, Fish-eye, Indoor localization, Machine learning BibRef

Schuldt, C.[Caroline], Shoushtari, H.[Hossein], Hellweg, N.[Nils], Sternberg, H.[Harald],
L5IN: Overview of an Indoor Navigation Pilot Project,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Xu, C.H.[Chang-Hui], Liu, Z.B.[Zhen-Bin], Li, Z.K.[Zeng-Ke],
Robust Visual-Inertial Navigation System for Low Precision Sensors under Indoor and Outdoor Environments,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Zhang, C.Y.[Chen-Yang], Huang, T.[Teng], Zhang, R.C.[Rong-Chun], Yi, X.F.[Xue-Feng],
PLD-SLAM: A New RGB-D SLAM Method with Point and Line Features for Indoor Dynamic Scene,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Fu, X.[Xin], Zhang, H.C.[Heng-Cai], Wang, P.X.[Pei-Xiao],
Automatic Construction of Indoor 3D Navigation Graph from Crowdsourcing Trajectories,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Zhang, L.Y.[Long-Yu], Xia, H.[Hao], Liu, Q.J.[Qing-Jun], Wei, C.Y.[Chun-Yang], Fu, D.[Dong], Qiao, Y.Y.[Yan-You],
Visual Positioning in Indoor Environments Using RGB-D Images and Improved Vector of Local Aggregated Descriptors,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Ding, J.[Jing], Yan, Z.G.[Zhi-Gang], We, X.[Xuchen],
High-Accuracy Recognition and Localization of Moving Targets in an Indoor Environment Using Binocular Stereo Vision,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Zheng, P.[Ping], Qin, D.Y.[Dan-Yang], Han, B.[Bing], Ma, L.[Lin], Berhane, T.M.[Teklu Merhawit],
Research on Feature Extraction Method of Indoor Visual Positioning Image Based on Area Division of Foreground and Background,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Alquisiris-Quecha, O.[Oswualdo], Martinez-Carranza, J.[Jose],
Metric Localisation for the NAO Robot,
MCPR21(121-130).
Springer DOI 2108
BibRef

Kim, T.[Taehoon], Kim, K.S.[Kyoung-Sook], Li, K.J.[Ki-Joune],
Improving Room-Level Location for Indoor Trajectory Tracking with Low IPS Accuracy,
IJGI(10), No. 9, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Wang, W.Q.[Wei-Qi], You, X.[Xiong], Zhang, X.[Xin], Chen, L.Y.[Ling-Yu], Zhang, L.T.[Lan-Tian], Liu, X.[Xu],
LiDAR-Based SLAM under Semantic Constraints in Dynamic Environments,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
Indoor navigation. BibRef

Chen, X.W.[Xiao-Wei], Fan, G.L.[Guo-Liang],
Indoor Camera Pose Estimation From Room Layouts and Image Outer Corners,
MultMed(25), 2023, pp. 7992-8005.
IEEE DOI 2312
BibRef
Earlier:
Egocentric Indoor Localization from Coplanar Two-Line Room Layouts,
Ego4D-EPIC22(1548-1558)
IEEE DOI 2210
BibRef
Earlier:
Egocentric Indoor Localization from Room Layouts and Image Outer Corners,
EPIC21(3449-3458)
IEEE DOI 2112
Location awareness, Navigation, Layout, Pose estimation, Optimization methods, Cameras. Linear systems, Iterative algorithms BibRef

Li, Q.[Qing], Cao, R.[Rui], Zhu, J.S.[Jia-Song], Hou, X.X.[Xian-Xu], Liu, J.[Jun], Jia, S.[Sen], Li, Q.Q.[Qing-Quan], Qiu, G.P.[Guo-Ping],
Improving synthetic 3D model-aided indoor image localization via domain adaptation,
PandRS(183), 2022, pp. 66-78.
Elsevier DOI 2201
Indoor localization, Image localization, Deep learning, Synthetic images, Domain adaptation BibRef

Ma, L.[Li], Cao, N.[Ning], Feng, X.L.[Xiao-Liang], Zhang, J.P.[Jian-Ping], Yan, J.J.[Jing-Jing],
Indoor Positioning Algorithm Based on Reconstructed Observation Model and Particle Filter,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Wang, S.[Sheng], Gou, G.H.[Guo-Hua], Sui, H.G.[Hai-Gang], Zhou, Y.F.[Yu-Feng], Zhang, H.[Hao], Li, J.J.[Jia-Jie],
CDSFusion: Dense Semantic SLAM for Indoor Environment Using CPU Computing,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Zhang, C.Y.[Chen-Yang], Zhang, R.C.[Rong-Chun], Jin, S.[Sheng], Yi, X.F.[Xue-Feng],
PFD-SLAM: A New RGB-D SLAM for Dynamic Indoor Environments Based on Non-Prior Semantic Segmentation,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Bach, T.B.[Thuan Bui], Dinh, T.T.[Tuan Tran], Lee, J.H.[Joo-Ho],
FeatLoc: Absolute pose regressor for indoor 2D sparse features with simplistic view synthesizing,
PandRS(189), 2022, pp. 50-62.
Elsevier DOI 2206
Visual localization, Sparse features, Absolute pose regression BibRef

Ahamad, A.[Afaroj], Sun, C.C.[Chi-Chia], Yang, N.J.[Nian-Jyun], Kuo, W.K.[Wen-Kai],
A new fast estimating floor region based on image segmentation for smart rovers,
IET-IPR(16), No. 9, 2022, pp. 2457-2466.
DOI Link 2206
BibRef

Zou, Q.[Qin], Sun, Q.[Qin], Chen, L.[Long], Nie, B.[Bu], Li, Q.Q.[Qing-Quan],
A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles,
ITS(23), No. 7, July 2022, pp. 6907-6921.
IEEE DOI 2207
Simultaneous localization and mapping, Laser radar, Robots, Visualization, Location awareness, Indoor navigation, graph optimization BibRef

Choe, S.[Soowook], Seong, H.[Hongje], Kim, E.T.[Eun-Tai],
Indoor Place Category Recognition for a Cleaning Robot by Fusing a Probabilistic Approach and Deep Learning,
Cyber(52), No. 8, August 2022, pp. 7265-7276.
IEEE DOI 2208
Robots, Cleaning, Image recognition, Cameras, Robot vision systems, Probabilistic logic, Time-domain analysis, place-object fusion BibRef

Wan, Q.[Qiao], Yu, Y.[Yue], Chen, R.Z.[Rui-Zhi], Chen, L.[Liang],
Map-Assisted 3D Indoor Localization Using Crowd-Sensing-Based Trajectory Data and Error Ellipse-Enhanced Fusion,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Liu, G.Z.[Guang-Zu], Wei, S.F.[Shuang-Feng], Zhong, S.B.[Shao-Bo], Huang, S.[Shuai], Zhong, R.F.[Ruo-Fei],
Reconstruction of Indoor Navigation Elements for Point Cloud of Buildings with Occlusions and Openings by Wall Segment Restoration from Indoor Context Labeling,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Singh, S.[Samarth], Kishore, K.[Kaushal], Dalai, S.[Sagar], Irfan, M.[Mahammad], Singh, S.[Sanjay], Akbar, S.A., Sachdeva, G.[Gurpreet], Yechangunja, R.[Ramesh],
CACLA-Based Local Path Planner for Drones Navigating Unknown Indoor Corridors,
IEEE_Int_Sys(37), No. 5, September 2022, pp. 32-41.
IEEE DOI 2211
Navigation, Drones, Path planning, Reinforcement learning, Sensors, Robot sensing systems, Online local path planning, Artificial Potential Field BibRef

Yang, X.[Xin], Lin, X.H.[Xiao-Hu], Yao, W.Q.[Wan-Qiang], Ma, H.W.[Hong-Wei], Zheng, J.L.[Jun-Liang], Ma, B.[Bolin],
A Robust LiDAR SLAM Method for Underground Coal Mine Robot with Degenerated Scene Compensation,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Li, Y.[Yang], Wei, Y.H.[Yong-Hui], Wang, Y.P.[Yan-Ping], Lin, Y.[Yun], Shen, W.J.[Wen-Jie], Jiang, W.[Wen],
False Detections Revising Algorithm for Millimeter Wave Radar SLAM in Tunnel,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Li, Q.[Qing], Cao, R.[Rui], Zhu, J.[Jiasong], Fu, H.[Hao], Zhou, B.[Baoding], Fang, X.[Xu], Jia, S.[Sen], Zhang, S.[Shenman], Liu, K.L.[Kang-Lin], Li, Q.Q.[Qing-Quan],
Learn then match: A fast coarse-to-fine depth image-based indoor localization framework for dark environments via deep learning and keypoint-based geometry alignment,
PandRS(195), 2023, pp. 169-177.
Elsevier DOI 2301
Indoor localization, Depth image, Deep learning, Transformer, Keypoint alignment BibRef

Jiang, Y.J.[Yuan-Jian], Peng, P.[Pingan], Wang, L.G.[Li-Guan], Wang, J.H.[Jia-Heng], Wu, J.X.[Jia-Xi], Liu, Y.C.[Yong-Chun],
LiDAR-Based Local Path Planning Method for Reactive Navigation in Underground Mines,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Claridades, A.R.C.[Alexis Richard C.], Kim, M.[Misun], Lee, J.Y.[Ji-Yeong],
Developing a Model to Express Spatial Relationships on Omnidirectional Images for Indoor Space Representation to Provide Location-Based Services,
IJGI(12), No. 3, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Wu, J.B.[Jian-Bing], Huang, W.B.[Wei-Bo], Hua, G.L.[Guo-Liang], Zhang, W.R.[Wan-Ruo], Kang, R.S.[Ri-Sheng], Liu, H.[Hong],
Semantic Path Planning for Indoor Navigation Tasks Using Multi-View Context and Prior Knowledge,
IEICE(E106-D), No. 5, May 2023, pp. 756-764.
WWW Link. 2305
BibRef

Zhang, W.S.[Wei-Song], Wang, Y.[Yukang], Zhou, X.P.[Xiao-Ping],
Automatic Generation of 3D Indoor Navigation Networks from Building Information Modeling Data Using Image Thinning,
IJGI(12), No. 6, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Han, L.T.[Li-Tao], Qiao, H.[Hu], Li, Z.[Zeyu], Liu, M.[Mengfan], Zhang, P.F.[Peng-Fei],
Navigation-Oriented Topological Model Construction Algorithm for Complex Indoor Space,
IJGI(12), No. 6, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Li, Q.[Qing], Cao, R.[Rui], Liu, K.L.[Kang-Lin], Li, Z.Z.[Zong-Ze], Zhu, J.[Jiasong], Bao, Z.Y.[Zhen-Yu], Fang, X.[Xu], Li, Q.Q.[Qing-Quan], Huang, X.F.[Xian-Feng], Qiu, G.P.[Guo-Ping],
Structure-guided camera localization for indoor environments,
PandRS(202), 2023, pp. 219-229.
Elsevier DOI 2308
Camera localization, Structure information, Depth estimation, Edge detection BibRef

Xiang, L.[Lai], Xu, Y.[Ying], Cui, J.H.[Jian-Hui], Liu, Y.[Yang], Wang, R.[Ruozhou], Li, G.F.[Guo-Feng],
GM(1,1)-Based Weighted K-Nearest Neighbor Algorithm for Indoor Localization,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Li, M.[Menggang], Hu, K.[Kun], Liu, Y.[Yuwang], Hu, E.[Eryi], Tang, C.[Chaoquan], Zhu, H.[Hua], Zhou, G.[Gongbo],
A Multimodal Robust Simultaneous Localization and Mapping Approach Driven by Geodesic Coordinates for Coal Mine Mobile Robots,
RS(15), No. 21, 2023, pp. 5093.
DOI Link 2311
BibRef

Zeng, Z.[Zhi], Lin, H.[Hui], Kang, Z.Z.[Zhi-Zhong], Xie, X.[Xiaokui], Yang, J.T.[Jun-Tao], Li, C.[Chuyu], Zhu, L.Z.[Long-Ze],
A Semantics-Guided Visual Simultaneous Localization and Mapping with U-Net for Complex Dynamic Indoor Environments,
RS(15), No. 23, 2023, pp. 5479.
DOI Link 2312
BibRef

Buisan, G.[Guilhem], Compan, N.[Nathan], Caroux, L.[Loďc], Clodic, A.[Aurélie], Carreras, O.[Ophélie], Vrignaud, C.[Camille], Alami, R.[Rachid],
Evaluating the Impact of Time-to-Collision Constraint and Head Gaze on Usability for Robot Navigation in a Corridor,
HMS(53), No. 6, December 2023, pp. 965-974.
IEEE DOI 2312
BibRef

Ran, Y.Y.[Ying-Ying], Xu, X.B.[Xia-Bin], Luo, M.Z.[Min-Zhou], Yang, J.[Jian], Chen, Z.H.[Zi-Heng],
Scene Classification Method Based on Multi-Scale Convolutional Neural Network with Long Short-Term Memory and Whale Optimization Algorithm,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Zhang, W.[Wanruo], Liu, H.[Hong], Wu, J.B.[Jian-Bing], Li, Y.[Yidi],
MVSSC: Meta-reinforcement learning based visual indoor navigation using multi-view semantic spatial context,
PRL(177), 2024, pp. 75-81.
Elsevier DOI 2401
Visual indoor navigation, Meta-reinforcement learning, Semantic spatial context BibRef

Yu, H.[Han], Wang, Q.[Qing], Yan, C.[Chao], Feng, Y.[Youyang], Sun, Y.[Yang], Li, L.[Lu],
DLD-SLAM: RGB-D Visual Simultaneous Localisation and Mapping in Indoor Dynamic Environments Based on Deep Learning,
RS(16), No. 2, 2024, pp. 246.
DOI Link 2402
BibRef


Hong, Y.C.[Yi-Cong], Zhou, Y.[Yang], Zhang, R.[Ruiyi], Dernoncourt, F.[Franck], Bui, T.[Trung], Gould, S.[Stephen], Tan, H.[Hao],
Learning Navigational Visual Representations with Semantic Map Supervision,
ICCV23(3032-3044)
IEEE DOI 2401
BibRef

Xie, T.[Tao], Dai, K.[Kun], Lu, S.[Siyi], Wang, K.[Ke], Jiang, Z.Q.[Zhi-Qiang], Gao, J.H.[Jing-Han], Liu, D.[Dedong], Xu, J.[Jie], Zhao, L.J.[Li-Jun], Li, R.F.[Rui-Feng],
OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes,
ICCV23(5493-5503)
IEEE DOI Code:
WWW Link. 2401
BibRef

Messina, N.[Nicola], Falchi, F.[Fabrizio], Furnari, A.[Antonino], Gennaro, C.[Claudio], Farinella, G.M.[Giovanni Maria],
An Optimized Pipeline for Image-based Localization in Museums from Egocentric Images,
CIAP23(I:512-524).
Springer DOI 2312
BibRef

Wang, L.[Lei], Zhu, Y.Q.[Yu-Qin], Liu, H.[Hao], Liu, J.[Jia], Zhang, L.[Li],
Research on Mobile Robot Localization and Mapping Method for Underground Long-Narrow Tunnels,
ICRVC22(345-349)
IEEE DOI 2301
Laser radar, Simultaneous localization and mapping, Filtering, Pose estimation, Resists, Trajectory, Sensors, Mobile robot, coal mine BibRef

Yan, J.J.[Jiao-Jie], Zhang, Q.S.[Qie-Shi], Cheng, J.[Jun], Ren, Z.L.[Zi-Liang], Li, T.[Tian], Yang, Z.[Zhuo],
Indoor Target-Driven Visual Navigation based on Spatial Semantic Information,
ICIP22(571-575)
IEEE DOI 2211
Visualization, Navigation, Semantics, Faces, Target-driven, visual navigation, deep reinforcement learning, spatial semantic information BibRef

Holmberg, M.[Max], Karlsson, O.[Oskar], Tulldahl, M.[Michael],
Lidar Positioning for Indoor Precision Navigation,
PBVS22(358-367)
IEEE DOI 2210
Laser radar, Simultaneous localization and mapping, Navigation, Conferences, Random access memory, Pattern recognition BibRef

Lafuente-Arroyo, S.[Sergio], Maldonado-Bascón, S.[Saturnino], López-Sastre, R.J.[Roberto Javier], Molina-Cantero, A.J.[Alberto Jesús], Martín-Martín, P.[Pilar],
LIDAR Signature Based Node Detection and Classification in Graph Topological Maps for Indoor Navigation,
IbPRIA22(390-401).
Springer DOI 2205
BibRef

Koh, J.Y.[Jing Yu], Lee, H.L.[Hong-Lak], Yang, Y.F.[Yin-Fei], Baldridge, J.[Jason], Anderson, P.[Peter],
Pathdreamer: A World Model for Indoor Navigation,
ICCV21(14718-14728)
IEEE DOI 2203
Training, Visualization, Uncertainty, Navigation, Semantics, Buildings, Stochastic processes, Image and video synthesis, Vision+language BibRef

Hyeon, J.[Janghun], Kim, J.[Joohyung], Doh, N.[Nakju],
Pose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces,
ICCV21(15954-15963)
IEEE DOI 2203
Location awareness, Visualization, Filtering, Pose estimation, Image retrieval, Mixed reality, Vision applications and systems BibRef

Yang, Y., Toth, C.,
Indoor Positioning for Smart Devices Based on Sensor Fusion With Particle Filter: Localization and Map Updating,
ISPRS21(B4-2021: 259-266).
DOI Link 2201
BibRef

Dong, S.[Siyan], Fan, Q.[Qingnan], Wang, H.[He], Shi, J.[Ji], Yi, L.[Li], Funkhouser, T.[Thomas], Chen, B.Q.[Bao-Quan], Guibas, L.J.[Leonidas J.],
Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments,
CVPR21(8540-8550)
IEEE DOI 2111
Heuristic algorithms, Robot kinematics, Robot vision systems, Cameras, Routing, Indoor environment BibRef

Lee, D.[Donghwan], Ryu, S.[Soohyun], Yeon, S.[Suyong], Lee, Y.[Yonghan], Kim, D.[Deokhwa], Han, C.[Cheolho], Cabon, Y.[Yohann], Weinzaepfel, P.[Philippe], Guérin, N.[Nicolas], Csurka, G.[Gabriela], Humenberger, M.[Martin],
Large-scale Localization Datasets in Crowded Indoor Spaces,
CVPR21(3226-3235)
IEEE DOI 2111
Location awareness, Visualization, Laser radar, Simultaneous localization and mapping, Wheels, Benchmark testing, Cameras BibRef

Sanchez-Belenguer, C.[Carlos], Wolfart, E.[Erik], Casado-Coscolla, A.[Alvaro], Sequeira, V.[Vitor],
RISEdb: a Novel Indoor Localization Dataset,
ICPR21(9514-9521)
IEEE DOI 2105
Location awareness, Wiring, Simultaneous localization and mapping, Pipelines, Benchmark testing BibRef

Chappellet, K.[Kevin], Caron, G.[Guillaume], Kanehiro, F.[Fumio], Sakurada, K.[Ken], Kheddar, A.[Abderrahmane],
Benchmarking Cameras for Open VSLAM Indoors,
ICPR21(4857-4864)
IEEE DOI 2105
Location awareness, Visualization, Service robots, Hospitals, Stereo image processing, Robot vision systems, Benchmark testing BibRef

Qian, W.Z.[Wei-Zhu], Gechter, F.[Franck],
Variational Information Bottleneck Model for Accurate Indoor Position Recognition,
ICPR21(2529-2535)
IEEE DOI 2105
Deep learning, Computational modeling, Neural networks, Fingerprint recognition, Predictive models, Decoding, Noise measurement BibRef

Örnhag, M.V.[Marcus Valtonen], Persson, P.[Patrik], Wadenbäck, M.[Mĺrten], Ĺström, K.[Kalle], Heyden, A.[Anders],
Minimal Solvers for Indoor UAV Positioning,
ICPR21(1136-1143)
IEEE DOI 2105
Visualization, Motion estimation, Indoor navigation, Real-time systems, Unmanned aerial vehicles, Robustness, Calibration BibRef

Padhy, R.P.[Ram Prasad], Ahmad, S.[Shahzad], Verma, S.[Sachin], Bakshi, S.[Sambit], Sa, P.K.[Pankaj Kumar],
Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep Learning,
ICPR21(9423-9428)
IEEE DOI 2105
Location awareness, Deep learning, Navigation, Neural networks, Predictive models, Prediction algorithms, Cameras BibRef

González-deSantos, L.M., Martínez-Sánchez, J., González-Jorge, H., Arias, P.,
Path Planning for Indoor Contact Inspection Tasks with Uavs,
ISPRS20(B4:345-351).
DOI Link 2012
BibRef

Li, C., Kang, Z., Yang, J., Li, F., Wang, Y.,
Research on Semantic-assisted SLAM in Complex Dynamic Indoor Environment,
ISPRS20(B4:353-359).
DOI Link 2012
BibRef

Cheng, F., Liu, C., Wu, H., Ai, M.,
Direct Sparse Visual Odometry with Structural Regularities for Long Corridor Environments,
ISPRS20(B2:757-763).
DOI Link 2012
BibRef

Zhao, H., Acharya, D., Tomko, M., Khoshelham, K.,
Indoor Lidar Relocalization Based on Deep Learning Using A 3d Model,
ISPRS20(B1:541-547).
DOI Link 2012
BibRef

Masiero, A., Perakis, H., Gabela, J., Toth, C., Gikas, V., Retscher, G., Goel, S., Kealy, A., Koppányi, Z., Blaszczak-Bak, W., Li, Y., Grejner-Brzezinska, D.,
Indoor Navigation and Mapping: Performance Analysis of Uwb-based Platform Positioning,
ISPRS20(B1:549-555).
DOI Link 2012
BibRef

Qiu, K.Y., Huang, H., El-Rabbany, A.,
Geomagnetic Field-based Indoor Positioning Using Back-propagation Neural Networks,
ISPRS20(B1:557-563).
DOI Link 2012
BibRef

Angelats, E., Espín-López, P.F., Navarro, J.A., Parés, M.E.,
Performance Analysis of the Iopes Seamless Indoor-outdoor Positioning Approach,
ISPRS21(B4-2021: 229-235).
DOI Link 2201
BibRef
Earlier: A1, A3, A4, Only:
Towards Seamless Indoor-outdoor Positioning: the Iopes Project Approach,
ISPRS20(B4:313-319).
DOI Link 2012
BibRef

Kalisperakis, I., Mandilaras, T., El Saer, A., Stamatopoulou, P., Stentoumis, C., Bourou, S., Grammatikopoulos, L.,
A Modular Mobile Mapping Platform for Complex Indoor and Outdoor Environments,
ISPRS20(B1:243-250).
DOI Link 2012
BibRef

Narasimhan, M.[Medhini], Wijmans, E.[Erik], Chen, X.L.[Xin-Lei], Darrell, T.J.[Trevor J.], Batra, D.[Dhruv], Parikh, D.[Devi], Singh, A.[Amanpreet],
Seeing the Un-scene: Learning Amodal Semantic Maps for Room Navigation,
ECCV20(XVIII:513-529).
Springer DOI 2012
BibRef

Chen, C.A.[Chang-An], Jain, U.[Unnat], Schissler, C.[Carl], Gari, S.V.A.[Sebastia Vicenc Amengual], Al-Halah, Z.[Ziad], Ithapu, V.K.[Vamsi Krishna], Robinson, P.[Philip], Grauman, K.[Kristen],
Soundspaces: Audio-visual Navigation in 3d Environments,
ECCV20(VI:17-36).
Springer DOI 2011
BibRef

Taira, H., Rocco, I., Sedlar, J., Okutomi, M., Sivic, J., Pajdla, T., Sattler, T., Torii, A.,
Is This the Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization,
ICCV19(4372-4382)
IEEE DOI 2004
computational geometry, feature extraction, image matching, image segmentation, image texture, indoor environment, Geometry BibRef

Zhu, F.[Fengda], Zhu, L.C.[Lin-Chao], Yang, Y.[Yi],
Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation,
CVPR19(11380-11389).
IEEE DOI 2002
BibRef

Mansouri, S.S.[Sina Sharif], Castańo, M.[Miguel], Kanellakis, C.[Christoforos], Nikolakopoulos, G.[George],
Autonomous MAV Navigation in Underground Mines Using Darkness Contours Detection,
CVS19(164-174).
Springer DOI 1912
BibRef

Cheng, S., Yang, J., Kang, Z., Akwensi, P.H.,
A Scene-assisted Point-line Feature Based Visual Slam Method For Autonomous Flight in Unknown Indoor Environments,
Indoor3D19(777-783).
DOI Link 1912
BibRef

Mustafa, K.A.A., Botteghi, N., Sirmacek, B., Poel, M., Stramigioli, S.,
Towards Continuous Control for Mobile Robot Navigation: A Reinforcement Learning and Slam Based Approach,
Indoor3D19(857-863).
DOI Link 1912
BibRef

Bot, F.J., Nourian, P., Verbree, E.,
A Graph-matching Approach to Indoor Localization Using a Mobile Device And a Reference BIM,
Indoor3D19(761-767).
DOI Link 1912
BibRef

Assi, R., Landes, T., Macher, H., Grussenmeyer, P.,
Energy Function Algorithm for Detection of Openings in Indoor Point Clouds,
Indoor3D19(747-752).
DOI Link 1912
BibRef

Assali, M., Pipelidis, G., Podolskiy, V., Iwaszczuk, D., Heinen, L., Gerndt, M.,
Quantifying The Quality of Indoor Maps,
Indoor3D19(739-745).
DOI Link 1912
BibRef

Niu, L., Song, Y.Q.,
A Faster R-CNN Approach for Extracting Indoor Navigation Graph From Building Designs,
Indoor3D19(865-872).
DOI Link 1912
BibRef

Li, M., Rottensteiner, F.,
Vision-based Indoor Localization Via a Visual Slam Approach,
Indoor3D19(827-833).
DOI Link 1912
BibRef

Hung, M.C., Chiang, K.W.,
Integration of PDR and Image-based Positioning Aided By Artificial Neural Networks In Indoor Environment,
ISPRS20(B1:181-185).
DOI Link 2012
BibRef

Hung, M.C., Liao, J.K., Chiang, K.W.,
Indoor Positioning Based-on Images Aided By Artificial Neural Networks,
Indoor3D19(799-803).
DOI Link 1912
BibRef

Xenakis, D., Meijers, M., Verbree, E.,
Placement Optimization of Positioning Nodes: Maximizing The Distinction Of Indoor Zones,
Indoor3D19(909-914).
DOI Link 1912
BibRef

Wang, P., Shang, J., Zhou, Z., Wu, Y., Sun, W.,
The Automatic Generation of An Adaptive Navigation Model for Indoor Map Matching,
Indoor3D19(895-902).
DOI Link 1912
BibRef

Gholami, A., Pahlavani, P., Azimi, S., Shakibi, S.,
Improved Indoor Positioning Technique Based On a Geographic Weighted Regression,
SMPR19(441-446).
DOI Link 1912
BibRef

Saadatzadeh, E., Chehreghan, A., Ali Abbaspour, R.,
Pedestrian Dead Reckoning Using Smartphones Sensors: An Efficient Indoor Positioning System in Complex Buildings of Smart Cities,
SMPR19(905-912).
DOI Link 1912
BibRef

Ciou, J.M., Lu, E.H.C.,
Indoor Positioning Using Convolution Neural Network to Regress Camera Pose,
SmartGeoApps19(1289-1294).
DOI Link 1912
BibRef

Liu, Y.Y.[Yu-Yang], Cong, Y.[Yang], Sun, G.[Gan],
Memory-Based Parameterized Skills Learning for Mapless Visual Navigation,
ICIP19(1890-1894)
IEEE DOI 1910
Mapless visual navigation, Deep reinforcement learning (DRL), Long short term memory, AI2THOR BibRef

Hu, P., Yan, Z., Huang, R., Yin, F.,
How Effectively can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Cramer-Rao Bound Viewpoi,
ICIP19(3083-3087)
IEEE DOI 1910
Visual tracking, Cramer-Rao bound, confidence region, wireless positioning BibRef

de Falco, A.[Antonio], Narducci, F.[Fabio], Petrosino, A.[Alfredo],
An UAV Autonomous Warehouse Inventorying by Deep Learning,
CIAP19(I:443-453).
Springer DOI 1909
BibRef

Wu, Q., Li, A.,
Automated Virtual Navigation and Monocular Localization of Indoor Spaces from Videos,
Odometry18(1605-16058)
IEEE DOI 1812
Solid modeling, Engines, Videos, Data models, Visualization, Training BibRef

Kim, P., Coltin, B., Kim, H.J.,
Indoor RGB-D Compass from a Single Line and Plane,
CVPR18(4673-4680)
IEEE DOI 1812
Cameras, Estimation, Image segmentation, Robot vision systems, Video sequences BibRef

Zhao, J., Frumkin, N., Ishwar, P., Konrad, J.,
CNN-Based Indoor Occupant Localization via Active Scene Illumination,
ICIP19(2636-2640)
IEEE DOI 1910
BibRef
Earlier: A1, A2, A4, A3:
Privacy-Preserving Indoor Localization via Active Scene Illumination,
PRIV18(1661-166109)
IEEE DOI 1812
Indoor localization, active scene illumination, convolutional neural network. Lighting, Light sources, Mathematical model, Image color analysis, Privacy, Sensor arrays BibRef

Zhang, N., Warren, M., Barfoot, T.D.,
Eye on the Sky: An Upward-Looking Monocular Teach-and-Repeat System for Indoor Environments,
CRV18(353-359)
IEEE DOI 1812
Cameras, Pipelines, Navigation, Feature extraction, Robot vision systems, Visualization, monocular, mapping, visual odometry BibRef

Sahdev, R., Chen, B.X., Tsotsos, J.K.,
Indoor Localization in Dynamic Human Environments Using Visual Odometry and Global Pose Refinement,
CRV18(360-367)
IEEE DOI 1812
Robot sensing systems, Mobile robots, Visual odometry, Cameras, Wheels, localization, visual odometry, wheel odometry, humans, robot pose BibRef

Wozniak, P.[Piotr], Afrisal, H.[Hadha], Esparza, R.G.[Rigel Galindo], Kwolek, B.[Bogdan],
Scene Recognition for Indoor Localization of Mobile Robots Using Deep CNN,
ICCVG18(137-147).
Springer DOI 1810
BibRef

García, R.O.[Reinier Oves], Valentin, L.[Luis], Martínez-Carranza, J.[José], Sucar, L.E.[L. Enrique],
A Fast Algorithm for Robot Localization Using Multiple Sensing Units,
MCPR18(248-257).
Springer DOI 1807
BibRef

Zhou, Y., Zeng, G., Huang, Y., Yang, X.,
Indoor Space Location Model Based On Location Service,
GeoInfo17(49-53).
DOI Link 1805
BibRef

Ahmad, F.[Feroz], Indu, S.[Sreedevi],
Adversarial Optimization of Indoor Positioning System Using Differential Evolution,
PReMI17(276-281).
Springer DOI 1711
BibRef

He, B.[Bo], Fang, Y.C.[Yong-Chun], Sun, N.[Ning],
A Practical Visual Positioning Method for Industrial Overhead Crane Systems,
CVS17(16-25).
Springer DOI 1711
BibRef

Gubbi, J.[Jayavardhana], Sandeep, N.K., Reddy, K.P.K.[K. Pavan Kumar], Balamuralidhar, P.,
Robust markers for visual navigation using Reed-Solomon codes,
MVA17(460-463)
DOI Link 1708
Dictionaries, Error correction, Navigation, Reed-Solomon codes, Robustness, Visualization BibRef

Sahdev, R., Tsotsos, J.K.[John K.],
Indoor Place Recognition System for Localization of Mobile Robots,
CRV16(53-60)
IEEE DOI 1612
HOUP BibRef

Wang, Z., Dong, B., Chen, D.,
Indoor Mobile Positioning Based on LIDAR Data and Coded Sequence Patternn,
GeoInfo16(145-146).
DOI Link 1612
BibRef

Gulde, T.[Thomas], Kärcher, S.[Silke], Curio, C.[Cristóbal],
Vision-Based SLAM Navigation for Vibro-Tactile Human-Centered Indoor Guidance,
ACVR16(II: 343-359).
Springer DOI 1611
BibRef

Mohamed, H.A., Moussa, A.M., Elhabiby, M.M., El-Sheimy, N., Sesay, A.B.[Abu B.],
Improved Real-time Scan Matching Using Corner Features,
ISPRS16(B5: 533-539).
DOI Link 1610
Indoor localization. BibRef

Li-Chee-Ming, J., Armenakis, C.,
Augmenting VISP's 3d Model-based Tracker with RGB-D SLAM for 3D Pose Estimation in Indoor Environments,
ISPRS16(B1: 925-932).
DOI Link 1610
BibRef

Díaz-Vilarińo, L., Boguslawski, P., Khoshelham, K., Lorenzo, H., Mahdjoubi, L.,
Indoor Navigation From Point Clouds: 3d Modelling And Obstacle Detection,
ISPRS16(B4: 275-281).
DOI Link 1610
BibRef

Xu, Y.[Yue], Shi, Y.[Yong], Zheng, X.Y.[Xing-Yu], Long, Y.[Yi],
An Indoor Space Partition Method And Its Fingerprint Positioning Optimization Considering Pedestrian Accessibility,
ISPRS16(B4: 347-350).
DOI Link 1610
BibRef

Huang, T.C.[Tsung-Che], Tseng, Y.H.[Yi-Hsing],
Indoor Positioning And Navigation Based On Control Spherecal Panoramic Images,
ISPRS16(B6: 251-258).
DOI Link 1610
BibRef

Kakillioglu, B., Velipasalar, S.,
Autonomous altitude measurement and landing area detection for indoor UAV applications,
AVSS16(166-172)
IEEE DOI 1611
Cameras BibRef

Kakillioglu, B., Ozcan, K., Velipasalar, S.,
Doorway detection for autonomous indoor navigation of unmanned vehicles,
ICIP16(3837-3841)
IEEE DOI 1610
Aggregates BibRef

Ai, H.J., Liu, M.Y., Shi, Y.M., Zhao, J.Q.,
Floor Identification With Commercial Smartphones In Wifi-based Indoor Localization System,
ISPRS16(B4: 573-577).
DOI Link 1610
BibRef

Gu, F., Kealy, A., Khoshelham, K., Shang, J.,
Efficient And Accurate Indoor Localization Using Landmark Graphs,
ISPRS16(B2: 509-514).
DOI Link 1610
BibRef

Xu, M.[Man], Wei, S.F.[Shuang-Feng], Zlatanova, S.[Sisi],
An Indoor Navigation Approach Considering Obstacles And Space Subdivision Of 2d Plan,
ISPRS16(B4: 339-346).
DOI Link 1610
BibRef

Wang, S.L.[Shen-Long], Fidler, S.[Sanja], Urtasun, R.[Raquel],
Lost Shopping! Monocular Localization in Large Indoor Spaces,
ICCV15(2695-2703)
IEEE DOI 1602
Cameras BibRef

Rivera-Rubio, J.[Jose], Alexiou, I.[Ioannis], Bharath, A.A.[Anil A.],
Indoor Localisation with Regression Networks and Place Cell Models,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Palumbo, F., Barsocchi, P., Chessa, S., Augusto, J.C.,
A stigmergic approach to indoor localization using Bluetooth Low Energy beacons,
AVSS15(1-6)
IEEE DOI 1511
Bluetooth BibRef

Micusik, B.[Branislav], Wildenauer, H.[Horst],
Descriptor free visual indoor localization with line segments,
CVPR15(3165-3173)
IEEE DOI 1510
BibRef

Kaijaluoto, R., Hyyppä, A.,
Precise Indoor Localization for Mobile Laser Scanner,
Seamless15(1-6).
DOI Link 1508
BibRef

Makri, A., Zlatanova, S., Verbree, E.,
An Approach for Indoor Wayfinding Replicating Main Principles of an Outdoor Navigation System for Cyclists,
Seamless15(29-35).
DOI Link 1508
BibRef

Yokoi, K., Yabuki, N., Fukuda, T., Michikawa, T., Motamedi, A.,
Way-Finding Assistance System for Underground Facilities Using Augmented Reality,
Seamless15(37-41).
DOI Link 1508
BibRef

Liu, L., Xu, W., Penard, W., Zlatanova, S.,
Leveraging Spatial Model to Improve Indoor Tracking,
Seamless15(75-80).
DOI Link 1508
BibRef

Huang, Y., Wang, H., Zhan, K., Zhao, J., Gui, P., Feng, T.,
Image-Based Localization for Indoor Environment Using Mobile Phone,
Seamless15(211-215).
DOI Link 1508
BibRef

Pagliari, D., Cazzaniga, N.E., Pinto, L.,
Use of Assisted Photogrammetry for Indoor and Outdoor Navigation Purposes,
Seamless15(113-118).
DOI Link 1508
BibRef

Elloumi, W., Guissous, K., Chetouani, A., Treuillet, S.,
Improving a vision indoor localization system by a saliency-guided detection,
VCIP14(149-152)
IEEE DOI 1504
image matching BibRef

van Opdenbosch, D.[Dominik], Oelsch, M.[Martin], Garcea, A.[Adrian], Steinbach, E.[Eckehard],
A joint compression scheme for local binary feature descriptors and their corresponding bag-of-words representation,
VCIP17(1-4)
IEEE DOI 1804
computational complexity, data compression, feature extraction, image coding, image representation, feature coding BibRef

van Opdenbosch, D., Schroth, G., Huitl, R., Hilsenbeck, S., Garcea, A., Steinbach, E.,
Camera-based indoor positioning using scalable streaming of compressed binary image signatures,
ICIP14(2804-2808)
IEEE DOI 1502
Image coding BibRef

Yi, S.[Saehoon], Mirowski, P.[Piotr], Ho, T.K.[Tin Kam], Pavlovic, V.[Vladimir],
Pose Invariant Activity Classification for Multi-Floor Indoor Localization,
ICPR14(3505-3510)
IEEE DOI 1412
Accelerometers BibRef

Saleiro, M., Terzic, K., Lobato, D., Rodrigues, J.M.F., du Buf, J.M.H.,
Biologically Inspired Vision for Indoor Robot Navigation,
ICIAR14(II: 469-477).
Springer DOI 1410
BibRef

Sinha, D.[Dwaipayan], Ahmed, M.T.[Mirza Tahir], Greenspan, M.[Michael],
Image Retrieval Using Landmark Indexing for Indoor Navigation,
CRV14(63-70)
IEEE DOI 1406
Feature extraction BibRef

Vanclooster, A., de Maeyer, P., Fack, V., van de Weghe, N.,
Calculating Least Risk Paths in 3D Indoor Space,
GeoInfo13(113-120).
DOI Link 1402
BibRef

Zlatanova, S., Sithole, G., Nakagawa, M., Zhu, Q.,
Problems In Indoor Mapping and Modelling,
Indoor13(63-68).
DOI Link 1402
BibRef

Xiong, Q., Zhu, Q., Zlatanova, S., Huang, L., Zhou, Y., Du, Z.,
Multi-dimensional Indoor Location Information Model,
Indoor13(45-49).
DOI Link 1402
BibRef

Nakagawa, M.,
Improvement in the Geofencing Service Interface Using Indoor Positioning Systems and Mobile Sensors,
Indoor13(27-30).
DOI Link 1402
BibRef

Liu, L., Zlatanova, S.,
Generating Navigation Models from Existing Building Data,
Indoor13(19-25).
DOI Link 1402
BibRef

Zhu, X.Y., Guo, W., Huang, L., Hu, T., Gao, W.X.,
Pan-information Location Map,
Indoor13(57-62).
DOI Link 1402
BibRef

Chan, S., Sohn, G., Wang, L., Lee, W.,
Dynamic WIFI-Based Indoor Positioning in 3D Virtual World,
Indoor13(1-6).
DOI Link 1402
BibRef

Sekkal, R.[Rafiq], Pasteau, F.[Franccois], Babel, M.[Marie], Brun, B.[Baptiste], Leplumey, I.[Ivan],
Simple monocular door detection and tracking,
ICIP13(3929-3933)
IEEE DOI 1402
2D tracking BibRef

Chun, C.H.[Chang-Hwan], Park, D.J.[Dong-Jin], Kim, W.J.[Won-Jun], Kim, C.[Changick],
Floor detection based depth estimation from a single indoor scene,
ICIP13(3358-3362)
IEEE DOI 1402
Depth estimation BibRef

Lombardi, M.[Martino], Pieracci, A.[Augusto], Santinelli, P.[Paolo], Vezzani, R.[Roberto], Cucchiara, R.[Rita],
Sensing floors for privacy-compliant surveillance of wide areas,
AVSS13(105-110)
IEEE DOI 1311
Logic gates; Polymers; Prototypes; Sensor systems; Surveillance; Tiles BibRef

Schmidt, A.[Adam], Kraft, M.[Marek], Fularz, M.[Michal],
On Tracking and Matching in Vision Based Navigation,
ICIAR14(II: 461-468).
Springer DOI 1410
BibRef

Schmidt, A.[Adam], Fularz, M.[Michal], Kraft, M.[Marek], Kasinski, A.[Andrzej], Nowicki, M.[Michal],
An Indoor RGB-D Dataset for the Evaluation of Robot Navigation Algorithms,
ACIVS13(321-329).
Springer DOI 1311
Dataset, Navigation. BibRef

Troniak, D.[Daniel], Sattar, J.[Junaed], Gupta, A.[Ankur], Little, J.J.[James J.], Chan, W.[Wesley], Calisgan, E.[Ergun], Croft, E.[Elizabeth], van der Loos, M.[Machiel],
Charlie Rides the Elevator, Integrating Vision, Navigation and Manipulation towards Multi-floor Robot Locomotion,
CRV13(1-8)
IEEE DOI 1308
Elevators BibRef

Dias, A.[André], Almeida, J.[Jose], Martins, A.[Alfredo], Silva, E.[Eduardo],
Real-Time Visual Ground-Truth System for Indoor Robotic Applications,
IbPRIA13(304-313).
Springer DOI 1307
BibRef

Sabattini, L.[Lorenzo], Levratti, A.[Alessio], Venturi, F.[Francesco], Amplo, E.[Enrica], Fantuzzi, C.[Cesare], Secchi, C.[Cristian],
Experimental comparison of 3D vision sensors for mobile robot localization for industrial application: Stereo-camera and RGB-D sensor,
ICARCV12(823-828).
IEEE DOI 1304
BibRef

Bischoff, B.[Bastian], Nguyen-Tuong, D.[Duy], Streichert, F.[Felix], Ewert, M.[Marlon], Knoll, A.[Alois],
Fusing vision and odometry for accurate indoor robot localization,
ICARCV12(347-352).
IEEE DOI 1304
BibRef

Meneguzzi, F.[Felipe], Kannan, B.[Balajee], Sycara, K.[Katia], Gnegy, C.[Chet], Glasgow, E.D.[Evan Donald], Yordanov, P.[Piotr],
Proactive Indoor Navigation on Mobile Devices,
CMU-RI-TR-11-37, December, 2011.
PDF File. 1202
BibRef

Silberman, N.[Nathan], Sontag, D.[David], Fergus, R.[Rob],
Instance Segmentation of Indoor Scenes Using a Coverage Loss,
ECCV14(I: 616-631).
Springer DOI 1408
BibRef

Silberman, N.[Nathan], Hoiem, D.[Derek], Kohli, P.[Pushmeet], Fergus, R.[Rob],
Indoor Segmentation and Support Inference from RGBD Images,
ECCV12(V: 746-760).
Springer DOI 1210

See also NYU Depth Dataset V2. BibRef

Wang, Z.[Zhe], Liu, H.[Hong], Wang, X.D.[Xiang-Dong], Qian, Y.L.[Yue-Liang],
Segment and Label Indoor Scene Based on RGB-D for the Visually Impaired,
MMMod14(I: 449-460).
Springer DOI 1405
BibRef

Liu, H.[Hong], Wang, J.[Jun], Wang, X.D.[Xiang-Dong], Qian, Y.L.[Yue-Liang],
Efficient Multi-scale Plane Extraction Based RGBD Video Segmentation,
MMMod17(I: 614-625).
Springer DOI 1701
BibRef

Wang, Z.[Zhe], Liu, H.[Hong], Qian, Y.L.[Yue-Liang], Xu, T.[Tao],
Real-Time Plane Segmentation and Obstacle Detection of 3D Point Clouds for Indoor Scenes,
CDC4CV12(II: 22-31).
Springer DOI 1210
BibRef

Navarro, R.[Rodolfo], Acevedo, E.[Elena], Acevedo, A.[Antonio], Martínez, F.[Fabiola],
Associative Model for Solving the Wall-Following Problem,
MCPR12(176-186).
Springer DOI 1208
BibRef

Kang, H.W.[Hong-Wen], Hebert, M.[Martial], Kanade, T.[Takeo],
Discovering object instances from scenes of Daily Living,
ICCV11(762-769).
IEEE DOI 1201
BibRef
Earlier:
Image matching with distinctive visual vocabulary,
WACV11(402-409).
IEEE DOI 1101
Link info across images and extract consistent patterns. BibRef

Kang, H.W.[Hong-Wen], Efros, A.A.[Alexei A.], Hebert, M.[Martial], Kanade, T.[Takeo],
Image matching in large scale indoor environment,
Egocentric09(33-40).
IEEE DOI 0906
BibRef

Kothari, N.[Nisarg], Kannan, B.[Balajee], Dias, M.B.[M. Bernardine],
Robust Indoor Localization on a Commercial Smart-Phone,
CMU-RI-TR-11-27, August, 2011.
PDF File. 1202
BibRef

Chen, G.[George], Kua, J.[John], Shum, S.[Stephen], Naikal, N.[Nikhil], Carlberg, M.[Matthew], Zakhor, A.[Avideh],
Indoor Localization Algorithms for a Human-Operated Backpack System,
3DPVT10(xx-yy).
WWW Link. 1005
BibRef

Niu, Z.B.[Zhi-Bin], Zhou, Y.[Yue], Shi, K.[Kun],
A hybrid image representation for indoor scene classification,
IVCNZ10(1-7).
IEEE DOI 1203
Global feature, local structure BibRef

Zheng, C.H.[Chun-Hui], Green, R.,
Vision-based autonomous navigation in indoor environments,
IVCNZ10(1-7).
IEEE DOI 1203
BibRef

Courbon, J., Mezouar, Y., Eck, L., Martinet, P.,
Efficient visual memory based navigation of indoor robot with a wide-field of view camera,
ICARCV08(268-273).
IEEE DOI 1109
BibRef

An, S.Y.[Su-Yong], Kang, J.G.[Jeong-Gwan], Lee, L.K.[Lae-Kyoung], Oh, S.Y.[Se-Young],
SLAM with salient line feature extraction in indoor environments,
ICARCV10(410-416).
IEEE DOI 1109
BibRef

Pirker, K.[Katrin], Ruther, M.[Matthias], Bischof, H.[Horst], Schweighofer, G.[Gerald],
Fast and accurate environment modeling using three-dimensional occupancy grids,
ConDepth11(1134-1140).
IEEE DOI 1201
BibRef

Pirker, K.[Katrin], Rüther, M.[Matthias], Schweighofer, G.[Gerald], Bischof, H.[Horst],
GPSlam: Marrying Sparse Geometric and Dense Probabilistic Visual Mapping,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Pirker, K.[Katrin], Rüther, M.[Matthias], Bischof, H.[Horst],
Histogram of Oriented Cameras: A New Descriptor for Visual SLAM in Dynamic Environments,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Pirker, K., Ruther, M., Bischof, H., Schweighofer, G., Mayer, H.,
An omnidirectional Time-of-Flight camera and its application to indoor SLAM,
ICARCV10(988-993).
IEEE DOI 1109
BibRef

Jung, I.[Ilkyun], Jun, S.[Sewoong], Kim, Y.[Youngouk],
Mobile Robot Navigation Using Difference of Wavelet SIFT,
ICMV09(286-292).
IEEE DOI 0912
For mobile home robot navigation. BibRef

Collier, J.[Jack], Se, S.[Stephen], Kotamraju, V.[Vinay],
Multi-sensor Appearance-Based Place Recognition,
CRV13(128-135)
IEEE DOI 1308
Feature extraction in image and depth. Bag of words. BibRef

Collier, J.[Jack], Ramirez-Serrano, A.[Alejandro],
Environment Classification for Indoor/Outdoor Robotic Mapping,
CRV09(276-283).
IEEE DOI 0905
BibRef

Curtis, D.[Dorothy], Ledlie, J.[Jonathan], Ryan, R.[Russell], Teller, S.[Seth], Charrow, B.[Ben], Battat, J.[Jonathan], Hicks, J.[Jamey],
Organic Indoor Location Discovery,
CSAIL-2008-075, December 2008.
WWW Link. Uses wifi signatures, not images. BibRef 0812

Gorte, B., Khoshelham, K., Verbree, E.,
Indoor Navigation by Using Segmentation of Range Images Obtained by Laser Scanners,
ISPRS08(B1: 971 ff).
PDF File. 0807
BibRef

Lara-Alvarez, C.[Carlos], Romero, L.[Leonardo],
Robust Local Localization of a Mobile Robot in Indoor Environments Using Virtual Corners,
CIARP07(901-910).
Springer DOI 0711
BibRef

Kasprzak, W.[Wlodzimierz], Szynkiewicz, W.[Wojciech], Karolczak, M.[Mikolaj],
Global Color Image Features for Discrete Self-Localization of an Indoor Vehicle,
CAIP05(620).
Springer DOI 0509
BibRef

Aider, O.A.[O. Ait], Chateau, T., Lapreste, J.T.,
Indoor autonomous navigation using visual memory and pattern tracking,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Cohen, O., Edan, Y.,
Adaptive fuzzy logic algorithm for grid-map based sensor fusion,
IVS04(625-630).
IEEE DOI 0411
Sensor fusion applied to localization of indoor robot. BibRef

Ching, L.W.[Lee Wee], Leung, M.K.H.,
SINVI: smart indoor navigation for the visually impaired,
ICARCV04(II: 1072-1077).
IEEE DOI 0412
BibRef

Welles, II, K.B.[Kenneth Brakeley], Kelliher, T.P.[Timothy Patrick], Tu, P.H.[Peter Henry],
Method and system for calibrating relative fields of view of multiple cameras,
US_Patent6,873,924, Mar 29, 2005
WWW Link. BibRef 0503

Tu, P.H., Rittscher, J., Kelliher, T.P.,
Site calibration for large indoor scenes,
AVSBS03(358-363).
IEEE DOI 0310
BibRef

Bräuer-Burchardt, C.[Christian],
Automatic Monocular 3D-Reconstruction of Indoor Environments Using Mobile Vehicles,
DAGM02(370 ff.).
Springer DOI 0303
BibRef

Weng, J.Y.[Ju-Yang], Hwang, W.S.[Wey-Shiuan], Zhang, Y.,
Developmental Vision, Audition, Robots and Beyond,
AIPU02(1-38). 0905
BibRef

Hwang, W.S., Weng, J.,
Incremental Hierarchical Discriminating Regression for Indoor Visual Navigation,
ICIP01(I: 810-813).
IEEE DOI 0108
BibRef

Schreer, O.,
Stereo vision-based navigation in unknown indoor environment,
ECCV98(I: 203).
Springer DOI BibRef 9800

Holder, M., Trivedi, M.M., Marapane, S.B.,
Mobile Robot Navigation by Wall Following Using a Rotating Ultrasonic Scanner,
ICPR96(III: 298-302).
IEEE DOI 9608
(Univ. of California, La Jolla, USA) BibRef

Sarachik, K.B.,
Visual Navigation: Constructing and Utilizing Simple Maps of and Indoor Environment,
MIT AI-TR-1113, March 1989.
WWW Link. BibRef 8903

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Indoor Localization, Navigation Issues, Non-Image, Wi-Fi, Phone Positioning .


Last update:Mar 16, 2024 at 20:36:19