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

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Lan, K.C.[Kun-Chan], Shih, W.Y.[Wen-Yuah],
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Zhou, B.D.[Bao-Ding], Li, Q.Q.[Qing-Quan], Mao, Q.Z.[Qing-Zhou], Tu, W.[Wei], Zhang, X.[Xing],
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Lymberopoulos, D., Liu, J.,
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IEEE DOI 1809
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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],
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Acharya, D.[Debaditya], Khoshelham, K.[Kourosh], Winter, S.[Stephan],
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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],
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PandRS(202), 2023, pp. 405-421.
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Liu, L.[Liu], Zlatanova, S.[Sisi], Li, B.F.[Bo-Feng], van Oosterom, P.[Peter], Liu, H.[Hua], Barton, J.[Jack],
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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,
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Lv, W., Kang, Y., Qin, J.,
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IEEE DOI 1906
Mobile robots, Robot sensing systems, Magnetometers, Kinematics, Gyroscopes, Dead reckoning, Dead reckoning, kinematics, localization, skid-steering mobile robot BibRef

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Indoor Positioning Based on Visible Light Communication: A Performance-based Survey of Real-world Prototypes,
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Spatial grid, Spatial-aware classifiers, Omnidirectional cameras, Fish-eye, Indoor localization, Machine learning BibRef

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Wang, W.Q.[Wei-Qi], You, X.[Xiong], Zhang, X.[Xin], Chen, L.Y.[Ling-Yu], Zhang, L.T.[Lan-Tian], Liu, X.[Xu],
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Ego4D-EPIC22(1548-1558)
IEEE DOI 2210
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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],
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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],
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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,
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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,
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Bach, T.B.[Thuan Bui], Dinh, T.T.[Tuan Tran], Lee, J.H.[Joo-Ho],
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Elsevier DOI 2206
Visual localization, Sparse features, Absolute pose regression BibRef

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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,
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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,
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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,
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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,
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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,
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Li, Y.[Yang], Wei, Y.H.[Yong-Hui], Wang, Y.P.[Yan-Ping], Lin, Y.[Yun], Shen, W.J.[Wen-Jie], Jiang, W.[Wen],
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Li, Q.[Qing], Cao, R.[Rui], Zhu, J.S.[Jia-Song], Fu, H.[Hao], Zhou, B.D.[Bao-Ding], Fang, X.[Xu], Jia, S.[Sen], Zhang, S.M.[Shen-Man], Liu, K.L.[Kang-Lin], Li, Q.Q.[Qing-Quan],
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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,
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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
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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.
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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
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Han, L.T.[Li-Tao], Qiao, H.[Hu], Li, Z.[Zeyu], Liu, M.F.[Meng-Fan], Zhang, P.F.[Peng-Fei],
Navigation-Oriented Topological Model Construction Algorithm for Complex Indoor Space,
IJGI(12), No. 6, 2023, pp. xx-yy.
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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.
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Li, M.[Menggang], Hu, K.[Kun], Liu, Y.[Yuwang], Hu, E.[Eryi], Tang, C.[Chaoquan], Zhu, H.[Hua], Zhou, G.[Gongbo],
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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,
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Buisan, G.[Guilhem], Compan, N.[Nathan], Caroux, L.[Loïc], 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
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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.
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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,
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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.
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Chen, C.[Chen], Chen, Y.W.[Yu-Wei], Zhu, J.L.[Jian-Liang], Jiang, C.H.[Chang-Hui], Jia, J.X.[Jian-Xin], Bo, Y.M.[Yu-Ming], Liu, X.Z.[Xuan-Zhi], Dai, H.J.[Hao-Jie], Puttonen, E.[Eetu], Hyyppä, J.[Juha],
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Lin, Z.H.[Zhi-Hao], Zhang, Q.[Qi], Tian, Z.[Zhen], Yu, P.Z.[Pei-Zhuo], Ye, Z.Y.[Zi-Yang], Zhuang, H.Y.[Han-Yang], Lan, J.L.[Jiang-Lin],
SLAM2: Simultaneous Localization and Multimode Mapping for indoor dynamic environments,
PR(158), 2025, pp. 111054.
Elsevier DOI 2411
Deep learning, Dynamic environment, Pose estimation, Semantic mapping, SLAM BibRef

Li, Y.M.[Yi-Meng], Rajabi, N.[Navid], Shrestha, S.[Sulabh], Alimoor, R.[Reza], Košecká, J.[Jana],
Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models,
Pretrain24(570-579)
IEEE DOI 2404
Training, Navigation, Semantic segmentation, Semantics, Training data, Image annotation, Object detection BibRef

Matsumoto, Y.[Yuya], Nakano, G.[Gaku], Ogura, K.[Kazumine],
Indoor Visual Localization using Point and Line Correspondences in dense colored point cloud,
WACV24(3604-3613)
IEEE DOI 2404
Location awareness, Point cloud compression, Visualization, Pose estimation, Pipelines, Green products, Algorithms, Robotics 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
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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:
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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 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
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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.[Mårten], Åström, 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
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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
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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
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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
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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
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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
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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
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Earlier: A1, A3, A4, Only:
Towards Seamless Indoor-outdoor Positioning: the Iopes Project Approach,
ISPRS20(B4:313-319).
DOI Link 2012
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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
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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
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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
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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
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Mansouri, S.S.[Sina Sharif], Castaño, M.[Miguel], Kanellakis, C.[Christoforos], Nikolakopoulos, G.[George],
Autonomous MAV Navigation in Underground Mines Using Darkness Contours Detection,
CVS19(164-174).
Springer DOI 1912
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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
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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
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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
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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
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Assali, M., Pipelidis, G., Podolskiy, V., Iwaszczuk, D., Heinen, L., Gerndt, M.,
Quantifying The Quality of Indoor Maps,
Indoor3D19(739-745).
DOI Link 1912
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Niu, L., Song, Y.Q.,
A Faster R-CNN Approach for Extracting Indoor Navigation Graph From Building Designs,
Indoor3D19(865-872).
DOI Link 1912
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Li, M., Rottensteiner, F.,
Vision-based Indoor Localization Via a Visual Slam Approach,
Indoor3D19(827-833).
DOI Link 1912
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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
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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
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Xenakis, D., Meijers, M., Verbree, E.,
Placement Optimization of Positioning Nodes: Maximizing The Distinction Of Indoor Zones,
Indoor3D19(909-914).
DOI Link 1912
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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
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Gholami, A., Pahlavani, P., Azimi, S., Shakibi, S.,
Improved Indoor Positioning Technique Based On a Geographic Weighted Regression,
SMPR19(441-446).
DOI Link 1912
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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
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Ciou, J.M., Lu, E.H.C.,
Indoor Positioning Using Convolution Neural Network to Regress Camera Pose,
SmartGeoApps19(1289-1294).
DOI Link 1912
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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
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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
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Zhou, Y., Zeng, G., Huang, Y., Yang, X.,
Indoor Space Location Model Based On Location Service,
GeoInfo17(49-53).
DOI Link 1805
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Ahmad, F.[Feroz], Indu, S.[Sreedevi],
Adversarial Optimization of Indoor Positioning System Using Differential Evolution,
PReMI17(276-281).
Springer DOI 1711
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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
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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
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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
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Díaz-Vilariño, 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
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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
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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
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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
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Gu, F., Kealy, A., Khoshelham, K., Shang, J.,
Efficient And Accurate Indoor Localization Using Landmark Graphs,
ISPRS16(B2: 509-514).
DOI Link 1610
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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
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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
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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
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Kaijaluoto, R., Hyyppä, A.,
Precise Indoor Localization for Mobile Laser Scanner,
Seamless15(1-6).
DOI Link 1508
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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
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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
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Liu, L., Xu, W., Penard, W., Zlatanova, S.,
Leveraging Spatial Model to Improve Indoor Tracking,
Seamless15(75-80).
DOI Link 1508
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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
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Pagliari, D., Cazzaniga, N.E., Pinto, L.,
Use of Assisted Photogrammetry for Indoor and Outdoor Navigation Purposes,
Seamless15(113-118).
DOI Link 1508
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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
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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
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Zlatanova, S., Sithole, G., Nakagawa, M., Zhu, Q.,
Problems In Indoor Mapping and Modelling,
Indoor13(63-68).
DOI Link 1402
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Xiong, Q., Zhu, Q., Zlatanova, S., Huang, L., Zhou, Y., Du, Z.,
Multi-dimensional Indoor Location Information Model,
Indoor13(45-49).
DOI Link 1402
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Nakagawa, M.,
Improvement in the Geofencing Service Interface Using Indoor Positioning Systems and Mobile Sensors,
Indoor13(27-30).
DOI Link 1402
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Liu, L., Zlatanova, S.,
Generating Navigation Models from Existing Building Data,
Indoor13(19-25).
DOI Link 1402
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Zhu, X.Y., Guo, W., Huang, L., Hu, T., Gao, W.X.,
Pan-information Location Map,
Indoor13(57-62).
DOI Link 1402
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Chan, S., Sohn, G., Wang, L., Lee, W.,
Dynamic WIFI-Based Indoor Positioning in 3D Virtual World,
Indoor13(1-6).
DOI Link 1402
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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
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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).
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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
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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
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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,
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IEEE DOI 1304
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Meneguzzi, F.[Felipe], Kannan, B.[Balajee], Sycara, K.[Katia], Gnegy, C.[Chet], Glasgow, E.D.[Evan Donald], Yordanov, P.[Piotr],
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PDF File. 1202
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Instance Segmentation of Indoor Scenes Using a Coverage Loss,
ECCV14(I: 616-631).
Springer DOI 1408
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Silberman, N.[Nathan], Hoiem, D.[Derek], Kohli, P.[Pushmeet], Fergus, R.[Rob],
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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],
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MMMod14(I: 449-460).
Springer DOI 1405
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Liu, H.[Hong], Wang, J.[Jun], Wang, X.D.[Xiang-Dong], Qian, Y.L.[Yue-Liang],
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MMMod17(I: 614-625).
Springer DOI 1701
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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).
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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
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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
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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 .