15.3.3.9 Traffic Lights, Objects along the Road, Inspections

Chapter Contents (Back)
Street Lights. Traffic Lights.

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Tao, C.V.[C. Vincent],
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Tao, C.V.[C. Vincent],
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PhEngRS(67), No. 12, December 2001, pp. 1401-1409. Automatic inspection of such objects as street light poles and traffic signs was performed employing georeferenced imagery and an existing location database
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Platner, D.K.[David K.], Burmeister, K.A.[Kurt A.], Hughes, T.[Thomas], Ledesma, R.H.[Ragnar H.], Miller, S.R.[Steven R.], Reynolds, M.P.[Mark P.], Williams, M.G.[Monte G.],
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PhEngRS(68), No. 3, March 2002, pp. 267-275. Traffic-light recognition from mobile mapping images.
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Chen, Y.[Yang],
Highway overhead structure detection using video image sequences,
ITS(4), No. 2, June 2003, pp. 67-77.
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Jeyapalan, K.[Kandiah],
Mobile Digital Cameras for As-Built Surveys of Roadside Features,
PhEngRS(70), No. 3, March 2004, pp. 301-312.
WWW Link. A method for determining the three-dimensional locations of roadside features appearing on multiple sequential images captured using a mobile videologging system without any ground control is described. 0403
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Alessandretti, G., Broggi, A., Cerri, P.,
Vehicle and Guard Rail Detection Using Radar and Vision Data Fusion,
ITS(8), No. 1, March 2007, pp. 95-105.
IEEE DOI 0703
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Lopez-Sastre, R.J., Renes-Olalla, J., Gil-Jimenez, P., Maldonado-Bascon, S., Lafuente-Arroyo, S.,
Heterogeneous Visual Codebook Integration Via Consensus Clustering for Visual Categorization,
CirSysVideo(23), No. 8, 2013, pp. 1358-1368.
IEEE DOI 1308
Clustering algorithms. category-level object and activity recognition. BibRef

Joo, S.K.[Sung-Kwan], Kim, Y.[Yongkwon], Cho, S.I.[Seong Ik], Choi, K.H.[Kyoung-Ho], Lee, K.S.[Ki-Sung],
Traffic Light Detection Using Rotated Principal Component Analysis for Video-Based Car Navigation System,
IEICE(E91-D), No. 12, December 2008, pp. 2884-2887.
DOI Link 0804
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Roters, J., Jiang, X., Rothaus, K.,
Recognition of Traffic Lights in Live Video Streams on Mobile Devices,
CirSysVideo(21), No. 10, October 2011, pp. 1497-1511.
IEEE DOI 1110
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Schwarzbach, F.[Friederike],
Suitability of Different LIDAR Data Sets for 3D Mapping of the Road Environment,
PFG(2009), No. 2, 2009, pp. 117-127.
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Cabo, C., Ordoñez, C., García-Cortés, S., Martínez, J.,
An algorithm for automatic detection of pole-like street furniture objects from Mobile Laser Scanner point clouds,
PandRS(87), No. 1, 2014, pp. 47-56.
Elsevier DOI 1402
Urban BibRef

Yu, Y.T.[Yong-Tao], Li, J., Guan, H.[Haiyan], Wang, C.[Cheng], Yu, J.[Jun],
Semiautomated Extraction of Street Light Poles From Mobile LiDAR Point-Clouds,
GeoRS(53), No. 3, March 2015, pp. 1374-1386.
IEEE DOI 1402
feature extraction See also Automated Detection of Three-Dimensional Cars in Mobile Laser Scanning Point Clouds Using DBM-Hough-Forests. See also Marked Point Process for Automated Tree Detection from Mobile Laser Scanning Point Cloud Data, A. See also Semi-Automated Extraction and Delineation of 3D Roads of Street Scene from Mobile Laser Scanning Point Clouds. BibRef

Wu, F.[Fan], Wen, C.L.[Cheng-Lu], Guo, Y.[Yulan], Wang, J.J.[Jing-Jing], Yu, Y.T.[Yong-Tao], Wang, C.[Cheng], Li, J.[Jonathan],
Rapid Localization and Extraction of Street Light Poles in Mobile LiDAR Point Clouds: A Supervoxel-Based Approach,
ITS(18), No. 2, February 2017, pp. 292-305.
IEEE DOI 1702
Feature extraction BibRef

Seo, Y., Lee, J., Zhang, W., Wettergreen, D.,
Recognition of Highway Workzones for Reliable Autonomous Driving,
ITS(16), No. 2, April 2015, pp. 708-718.
IEEE DOI 1504
Detectors BibRef

Suhr, J.K., Jung, H.G.,
Dense Stereo-Based Robust Vertical Road Profile Estimation Using Hough Transform and Dynamic Programming,
ITS(16), No. 3, June 2015, pp. 1528-1536.
IEEE DOI 1506
Databases BibRef

Shi, Z., Zou, Z., Zhang, C.,
Real-Time Traffic Light Detection With Adaptive Background Suppression Filter,
ITS(17), No. 3, March 2016, pp. 690-700.
IEEE DOI 1603
Feature extraction BibRef

Mascetti, S.[Sergio], Ahmetovic, D.[Dragan], Gerino, A.[Andrea], Bernareggi, C.[Cristian], Busso, M.[Mario], Rizzi, A.[Alessandro],
Robust traffic lights detection on mobile devices for pedestrians with visual impairment,
CVIU(148), No. 1, 2016, pp. 123-135.
Elsevier DOI 1606
Assistive technologies See also ZebraRecognizer: Pedestrian crossing recognition for people with visual impairment or blindness. BibRef

Jensen, M.B.[Morten B.], Philipsen, M.P.[Mark P.], Møgelmose, A., Moeslund, T.B.[Thomas B.], Trivedi, M.M.[Mohan M.],
Vision for Looking at Traffic Lights: Issues, Survey, and Perspectives,
ITS(17), No. 7, July 2016, pp. 1800-1815.
IEEE DOI 1608
filtering theory BibRef

Jensen, M.B.[Morten B.], Philipsen, M.P.[Mark P.], Moeslund, T.B.[Thomas B.], Trivedi, M.M.[Mohan M.],
Comprehensive Parameter Sweep for Learning-Based Detector on Traffic Lights,
ISVC16(II: 92-100).
Springer DOI 1701
BibRef

Jensen, M.B.[Morten B.], Nasrollahi, K., Moeslund, T.B.[Thomas B.],
Evaluating State-of-the-Art Object Detector on Challenging Traffic Light Data,
Traffic17(882-888)
IEEE DOI 1709
Data models, Detectors, Image color analysis, Predictive models, Shape, Training, Training, data BibRef

Jensen, M.B.[Morten B.], Philipsen, M.P.[Mark P.], Bahnsen, C.[Chris], Møgelmose, A.[Andreas], Moeslund, T.B.[Thomas B.], Trivedi, M.M.[Mohan M.],
Traffic Light Detection at Night: Comparison of a Learning-Based Detector and Three Model-Based Detectors,
ISVC15(I: 774-783).
Springer DOI 1601
BibRef

Rodríguez-Cuenca, B.[Borja], García-Cortés, S.[Silverio], Ordóñez, C.[Celestino], Alonso, M.C.[María C.],
Morphological Operations to Extract Urban Curbs in 3D MLS Point Clouds,
IJGI(5), No. 6, 2016, pp. 93.
DOI Link 1608
BibRef

Wang, Y., Zhu, X.X., Zeisl, B., Pollefeys, M.,
Fusing Meter-Resolution 4-D InSAR Point Clouds and Optical Images for Semantic Urban Infrastructure Monitoring,
GeoRS(55), No. 1, January 2017, pp. 14-26.
IEEE DOI 1701
BibRef
Earlier: A1, A2, Only:
Semantic Interpretation of INSAR Estimates Using Optical Images with Application to Urban Infrastructure Monitoring,
CMRT15(153-160).
DOI Link 1602
optical images BibRef

Wang, Y., Zhu, X.X.,
Earth Observation Using SAR and Social Media Images,
EarthVision17(1580-1588)
IEEE DOI 1709
Adaptive optics, Conferences, Optical imaging, Optical interferometry, Optical sensors, Solid modeling, Synthetic, aperture, radar BibRef

Zheng, H.[Han], Wang, R.S.[Rui-Sheng], Xu, S.,
Recognizing Street Lighting Poles From Mobile LiDAR Data,
GeoRS(55), No. 1, January 2017, pp. 407-420.
IEEE DOI 1701
geophysical techniques BibRef

Xu, S., Wang, R.S.[Rui-Sheng], Zheng, H.[Han],
Road Curb Extraction From Mobile LiDAR Point Clouds,
GeoRS(55), No. 2, February 2017, pp. 996-1009.
IEEE DOI 1702
geophysical image processing BibRef

Zheng, H.[Han], Tan, F.T.[Fei-Tong], Wang, R.S.[Rui-Sheng],
Pole-like Object Extraction From Mobile Lidar Data,
ISPRS16(B1: 729-734).
DOI Link 1610
BibRef

Hosseinyalamdary, S.[Siavash], Yilmaz, A.[Alper],
A Bayesian approach to traffic light detection and mapping,
PandRS(125), No. 1, 2017, pp. 184-192.
Elsevier DOI 1703
Traffic light detection and mapping BibRef

Liu, W., Li, S., Lv, J., Yu, B., Zhou, T., Yuan, H., Zhao, H.,
Real-Time Traffic Light Recognition Based on Smartphone Platforms,
CirSysVideo(27), No. 5, May 2017, pp. 1118-1131.
IEEE DOI 1705
Color, Image color analysis, Interference, Real-time systems, Roads, Smart phones, Vehicles, Finite-state machine, geometry threshold model, kernel extreme learning machine (K-ELM), smartphone, traffic, light, recognition BibRef

Wang, J.[Jinhu], Lindenbergh, R.[Roderik], Menenti, M.[Massimo],
SigVox-A 3D feature matching algorithm for automatic street object recognition in mobile laser scanning point clouds,
PandRS(128), No. 1, 2017, pp. 111-129.
Elsevier DOI 1706
Mobile laser scanning BibRef

Zhu, H., Yuen, K.V., Mihaylova, L., Leung, H.,
Overview of Environment Perception for Intelligent Vehicles,
ITS(18), No. 10, October 2017, pp. 2584-2601.
IEEE DOI 1710
Laser radar, Roads, Intelligent vehicles, environment perception and modeling, lane and road detection, traffic sign recognition, vehicle, tracking, BibRef

Li, X., Ma, H., Wang, X., Zhang, X.,
Traffic Light Recognition for Complex Scene With Fusion Detections,
ITS(19), No. 1, January 2018, pp. 199-208.
IEEE DOI 1801
Cameras, Detectors, Feature extraction, Learning systems, Object detection, Proposals, Traffic light recognition, inter-frame analysis BibRef

Harbaš, I.[Iva], Prentašic, P.[Pavle], Subašic, M.[Marko],
Detection of roadside vegetation using Fully Convolutional Networks,
IVC(74), 2018, pp. 1-9.
Elsevier DOI 1806
Image analysis, Vegetation detection, Roadside maintenance, Deep learning, Convolutional neural networks BibRef

Krylov, V.A.[Vladimir A.], Kenny, E.[Eamonn], Dahyot, R.[Rozenn],
Automatic Discovery and Geotagging of Objects from Street View Imagery,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
To populate the data base with coordinates of fixed objects. Initially lights and poles. BibRef

de Vitry, M.M.[Matthew Moy], Schindler, K.[Konrad], Rieckermann, J.[Jörg], Leitão, J.P.[João P.],
Sewer Inlet Localization in UAV Image Clouds: Improving Performance with Multiview Detection,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
To generate an inventory. BibRef


Rad, M.S.[Mohammad Saeed], von Kaenel, A.[Andreas], Droux, A.[Andre], Tieche, F.[Francois], Ouerhani, N.[Nabil], Ekenel, H.K.[Hazim Kemal], Thiran, J.P.[Jean-Philippe],
A Computer Vision System to Localize and Classify Wastes on the Streets,
CVS17(195-204).
Springer DOI 1711
BibRef

Zhou, C., Yang, J., Zhao, C., Hua, G.,
Fast, Accurate Thin-Structure Obstacle Detection for Autonomous Mobile Robots,
ECVW17(318-327)
IEEE DOI 1709
Cameras, Feature extraction, Image edge detection, Simultaneous localization and mapping. BibRef

Hebbalaguppe, R., Garg, G., Hassan, E., Ghosh, H., Verma, A.,
Telecom Inventory Management via Object Recognition and Localisation on Google Street View Images,
WACV17(725-733)
IEEE DOI 1609
Computer vision, Google, Inventory management, Object recognition, Pipelines, Support vector machines, Telecommunications BibRef

Chacra, D.B.A.[David B. Abou], Zelek, J.S.[John S.],
Fully Automated Road Defect Detection Using Street View Images,
CRV17(353-360)
IEEE DOI 1804
BibRef
And:
Road Segmentation in Street View Images Using Texture Information,
CRV16(424-431)
IEEE DOI 1612
civil engineering computing, condition monitoring, crack detection, feature extraction, image classification, Road Segmentation. Fisher Vectors BibRef

Dhiman, V.[Vikas], Tran, Q.H.[Quoc-Huy], Corso, J.J.[Jason J.], Chandraker, M.[Manmohan],
A Continuous Occlusion Model for Road Scene Understanding,
CVPR16(4331-4339)
IEEE DOI 1612
BibRef

Naharudin, N., Ahamad, M.S.S., Sadullah, A.F.M.,
GIS Data Collection for Pedestrian Facilities and Furniture Using MAPINR for Android,
GGT16(89-95).
DOI Link 1612
BibRef

Prinet, V., Wang, J., Lee, J., Wettergreen, D.,
3D road curb extraction from image sequence for automobile parking assist system,
ICIP16(3847-3851)
IEEE DOI 1610
Cameras BibRef

Zadrija, V.[Valentina], Krapac, J.[Josip], Verbeek, J.[Jakob], Šegvic, S.[Siniša],
Patch-Level Spatial Layout for Classification and Weakly Supervised Localization,
GCPR15(492-503).
Springer DOI 1511
BibRef

Moorfield, B.[Bradley], Haeusler, R.[Ralf], Klette, R.[Reinhard],
Bilateral Filtering of 3D Point Clouds for Refined 3D Roadside Reconstructions,
CAIP15(II:394-402).
Springer DOI 1511
BibRef

Haltakov, V.[Vladimir], Mayr, J.[Jakob], Unger, C.[Christian], Ilic, S.[Slobodan],
Semantic Segmentation Based Traffic Light Detection at Day and at Night,
GCPR15(446-457).
Springer DOI 1511
BibRef

Diaz, M.[Moises], Cerri, P.[Pietro], Pirlo, G.[Giuseppe], Ferrer, M.A.[Miguel A.], Impedovo, D.[Donato],
A Survey on Traffic Light Detection,
ISCA15(201-208).
Springer DOI 1511
BibRef

Hidaka, N., Michikawa, T., Yabuki, N., Fukuda, T., Motamedi, A.,
Creating Product Models from Point Cloud of Civil Structures Based on Geometric Similarity,
Seamless15(137-141).
DOI Link 1508
BibRef

Miraliakbari, A., Hahn, M., Sok, S.,
Automatic Extraction of Road Surface and Curbstone Edges from Mobile Laser Scanning Data,
Seamless15(119-124).
DOI Link 1508
BibRef

Munawar, A.[Asim], Creusot, C.[Clement],
Structural inpainting of road patches for anomaly detection,
MVA15(41-44)
IEEE DOI 1507
Cameras BibRef

Xu, C.[Chen], Frechet, S.[Simon], Laurendeau, D.[Denis], Miralles, F.[Francois],
Out-of-Core Surface Reconstruction from Large Point Sets for Infrastructure Inspection,
CRV15(313-319)
IEEE DOI 1507
Image reconstruction BibRef

Chan, T.O., Lichti, D.D.,
Geometric Modelling of Octagonal Lamp Poles,
CloseRange14(145-150).
DOI Link 1411
BibRef

Frey, N.[Nathan], Torralba, A.B.[Antonio B.], Stauffer, C.[Christopher],
Unsupervised Non-parametric Geospatial Modeling from Ground Imagery,
WACV14(698-705)
IEEE DOI 1406
Analysis of street level imagery. BibRef

Varadharajan, S.[Srivatsan], Jose, S.[Sobhagya], Sharma, K.[Karan], Wander, L.[Lars], Mertz, C.[Christoph],
Vision for road inspection,
WACV14(115-122)
IEEE DOI 1406
Image segmentation; Inspection; Roads; Robots; Software; Training BibRef

Barranco-Gutiérrez, A.I.[Alejandro Israel], Martínez-Díaz, S.[Saúl], Gómez-Torres, J.L.[José Luis],
An Approach for Utility Pole Recognition in Real Conditions,
PSIVTWS13(113-121).
Springer DOI 1402
BibRef

Zhao, G.Q.[Gang-Qiang], Yuan, J.S.[Jun-Song],
Curb detection and tracking using 3D-LIDAR scanner,
ICIP12(437-440).
IEEE DOI 1302
BibRef

Puente, I., González-jorge, H., Riveiro, B., Arias, P.,
Deformation Monitoring of Motorway Underpasses Using Laser Scanning Data,
ISPRS12(XXXIX-B5:235-238).
DOI Link 1209
BibRef

Qi, X., Lichti, D.D.[Derek D.],
Dynamic Concrete Beam Deformation Measuremnet With 3d Range Cameras,
ISPRS12(XXXIX-B5:239-244).
DOI Link 1209
BibRef

Ji, S., Shi, Y., Shi, Z.,
Manhole Cover Detection Using Vehicle-based Multi-sensor Data,
ISPRS12(XXXIX-B3:281-284).
DOI Link 1209
BibRef

Bertozzi, M.[Massimo], Broggi, A.[Alberto], Boccalini, G.[Gionata], Mazzei, L.[Luca],
Fast Vision-Based Road Tunnel Detection,
CIAP11(II: 424-433).
Springer DOI 1109
BibRef

Yokoyama, H.[Hiroki], Date, H.[Hiroaki], Kanai, S.[Satoshi], Takeda, H.[Hiroshi],
Pole-Like Objects Recognition From Mobile Laser Scanning Data Using Smoothing And Principal Component Analysis,
Laser11(xx-yy).
DOI Link 1109
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Mcelhinney, C., Kumar, P., Cahalane, C., McCarthy, T.,
Initial Results From European Road Safety Inspection (EURSI) Mobile Mapping Project,
CloseRange10(xx-yy).
PDF File. 1006
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Zou, H.S.[Hua-Sheng],
Study on roadbed disease recognition algorithm based on support vector machine,
IASP09(362-365).
IEEE DOI 0904
BibRef

Kim, J.S.[Jin-Soo], Lee, J.C.[Jong-Chool], Kang, I.J.[In-Joon], Cha, S.Y.[Sung-Yeoul], Choi, H.[Hyun], Lee, T.G.[Tack-Gon],
Extraction of Geometric Information on Highway Using Terrestrial Laser Scanning Technology,
ISPRS08(B5: 539 ff).
PDF File. 0807
BibRef

Hwang, T.H.[Tae-Hyun], Joo, I.H.[In-Hak], Cho, S.I.[Seong-Ik],
Detection of Traffic Lights for Vision-Based Car Navigation System,
PSIVT06(682-691).
Springer DOI 0612
BibRef

Tsai, Y.C.J.[Yi-Chang James], Wu, J.P.[Jian-Ping], Wu, Y.C.[Yi-Ching], Wang, Z.H.[Zhao-Hua],
Automatic Roadway Geometry Measurement Algorithm Using Video Images,
CIAP05(669-678).
Springer DOI 0509
BibRef

von Trzebiatowski, M.S., Gern, A., Franke, U., Kaeppeler, U.P., Levi, P.,
Detecting reflection posts: Lane recognition on country roads,
IVS04(304-309).
IEEE DOI 0411
BibRef

Lindner, F., Kressel, U., Kaelberer, S.,
Robust recognition of traffic signals,
IVS04(49-53).
IEEE DOI 0411
BibRef

Nishibe, Y., Wu, H., Shioyama, T.,
Detection of Train Platform Curb with Image Sensor,
SCIA01(P-W5). 0206
BibRef

Foresti, G.L., Pani, B.,
Monitoring motorway infrastructures for detection of dangerous events,
CIAP99(1144-1147).
IEEE DOI 9909
See also On-line trajectory clustering for anomalous events detection. BibRef

Nicholls, D.C., Murray, D.W.,
Applying Visual Processing to GPS Mapping of Trackside Structures,
BMVC98(841-851).
HTML Version. BibRef 9800

Lanser, S.[Stefan], Zierl, C.[Christoph], Munkelt, O.[Olaf], Radig, B.[Bernd],
MORAL: A vision-based object recognition system for autonomous mobile systems,
CAIP97(33-41).
Springer DOI 9709
BibRef

Laurent, J., Talbot, M., Doucet, M.,
Road Surface Inspection Using Laser Scanners,
3DIM97(12 - Applications) 9702
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Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Railroads, Inspection, Obstacles .


Last update:Aug 16, 2018 at 18:22:30