15.3.3.6.2 Obstacles, Objects on the Road Using Radar, Sonar, Active Vision

Chapter Contents (Back)
Collision Avoidance. Obstacle Detection. Collision Detection. See also Traffic Surveillance, Analysis of Traffic.

Hollowbush, R.R.[Richard R.],
Ultrasonic obstacle detector,
US_Patent5,059,946, Oct 22, 1991
WWW Link. Vehicles BibRef 9110

Dombrowski, A.E.[Anthony E.],
School bus obstacle detection device,
US_Patent5,250,945, Oct 5, 1993
WWW Link. BibRef 9310

Jefferis, B.[Brian], Morgan, S.D.[Shaun D.],
Vehicle detection systems,
US_Patent5,339,081, Aug 16, 1994
WWW Link. Radar based BibRef 9408

Hibino, K.[Katsuhiko], Kurahashi, A.[Akira], Hashimoto, M.[Mitsufumi],
System for distinguishing a vehicle traveling ahead based on an adjustable probability distribution,
US_Patent5,510,990, Apr 23, 1996
WWW Link. Radar BibRef 9604

Shisgal, B.Z.[Ben Z.], Anderman, H.[Hanan], Fashchik, Y.[Yosef], Porat, Y.[Yariv],
Obstacle detection system for vehicles moving in reverse,
US_Patent5,574,426, Nov 12, 1996
WWW Link. BibRef 9611

Yuan, Z.P.[Zhi-Ping],
Vehicular safety distance alarm system,
US_Patent5,627,510, May 6, 1997
WWW Link. BibRef 9705

Kato, T., Ninomiya, Y., Masaki, I.,
An obstacle detection method by fusion of radar and motion stereo,
ITS(3), No. 3, September 2002, pp. 182-188.
IEEE Abstract. 0402
BibRef

Shimomura, N., Fujimoto, K., Oki, T., Muro, H.,
An algorithm for distinguishing the types of objects on the road using laser radar and vision,
ITS(3), No. 3, September 2002, pp. 189-195.
IEEE Abstract. 0402
BibRef

Tsang, S.H., Hall, P.S., Hoare, E.G., Clarke, N.J.,
Advance Path Measurement for Automotive Radar Applications,
ITS(7), No. 3, September 2006, pp. 273-281.
IEEE DOI 0609
BibRef

Jimenez Ruiz, A.R., Seco Granja, F.,
A Short-Range Ship Navigation System Based on Ladar Imaging and Target Tracking for Improved Safety and Efficiency,
ITS(10), No. 1, March 2009, pp. 186-197.
IEEE DOI 0903
BibRef

Zhao, H., Chiba, M., Shibasaki, R., Shao, X., Cui, J., Zha, H.,
A Laser-Scanner-Based Approach Toward Driving Safety and Traffic Data Collection,
ITS(10), No. 3, September 2009, pp. 534-546.
IEEE DOI 0909
Laser scanner data. Use both for obstacles and collecting general data. BibRef

Viikari, V.V., Varpula, T., Kantanen, M.,
Road-Condition Recognition Using 24-GHz Automotive Radar,
ITS(10), No. 4, December 2009, pp. 639-648.
IEEE DOI 0912
BibRef

Pietzsch, S., Vu, T.D., Burlet, J., Aycard, O., Hackbarth, T., Appenrodt, N., Dickmann, J., Radig, B.,
Results of a Precrash Application Based on Laser Scanner and Short-Range Radars,
ITS(10), No. 4, December 2009, pp. 584-593.
IEEE DOI 0912
BibRef

Yamamoto, H.[Hiroshi], Ishii, Y.[Yoshinori], Yamazaki, K.[Katsuyuki],
Development and Evaluation of Roadside/Obstacle Detection Method Using 3D Scanned Data Processing,
IEICE(E95-D), No. 2, February 2012, pp. 540-541.
WWW Link. 1202
BibRef

Kim, T.[Taewung], Jeong, H.Y.[Hyun-Yong],
A Novel Algorithm for Crash Detection Under General Road Scenes Using Crash Probabilities and an Interactive Multiple Model Particle Filter,
ITS(15), No. 6, December 2014, pp. 2480-2490.
IEEE DOI 1412
Monte Carlo methods BibRef

Lehtomaki, M., Jaakkola, A., Hyyppa, J., Lampinen, J., Kaartinen, H., Kukko, A., Puttonen, E., Hyyppa, H.,
Object Classification and Recognition From Mobile Laser Scanning Point Clouds in a Road Environment,
GeoRS(54), No. 2, February 2016, pp. 1226-1239.
IEEE DOI 1601
Accuracy BibRef

Kellner, D., Barjenbruch, M., Klappstein, J., Dickmann, J., Dietmayer, K.,
Tracking of Extended Objects with High-Resolution Doppler Radar,
ITS(17), No. 5, May 2016, pp. 1341-1353.
IEEE DOI 1605
Doppler radar BibRef

Luo, H.[Huan], Wang, C.[Cheng], Wen, C.L.[Cheng-Lu], Cai, Z.P.[Zhi-Peng], Chen, Z.Y.[Zi-Yi], Wang, H.Y.[Han-Yun], Yu, Y.T.[Yong-Tao], Li, J.[Jonathan],
Patch-Based Semantic Labeling of Road Scene Using Colorized Mobile LiDAR Point Clouds,
ITS(17), No. 5, May 2016, pp. 1286-1297.
IEEE DOI 1605
Context BibRef

Luo, H.[Huan], Wang, C.[Cheng], Wen, C.L.[Cheng-Lu], Chen, Z.Y.[Zi-Yi], Zai, D., Yu, Y.T.[Yong-Tao], Li, J.[Jonathan],
Semantic Labeling of Mobile LiDAR Point Clouds via Active Learning and Higher Order MRF,
GeoRS(56), No. 7, July 2018, pp. 3631-3644.
IEEE DOI 1807
Markov processes, image representation, image segmentation, learning (artificial intelligence), optical radar, semantic labeling BibRef

Zhang, H.C.[Hao-Cheng], Li, J.[Jonathan], Cheng, M.[Ming], Wang, C.[Cheng],
Rapid Inspection Of Pavement Markings Using Mobile Lidar Point Clouds,
ISPRS16(B1: 717-723).
DOI Link 1610
BibRef

Wang, X., Xu, L., Sun, H., Xin, J., Zheng, N.,
On-Road Vehicle Detection and Tracking Using MMW Radar and Monovision Fusion,
ITS(17), No. 7, July 2016, pp. 2075-2084.
IEEE DOI 1608
millimetre wave radar BibRef

Nijsure, Y.A., Kaddoum, G., Khaddaj Mallat, N., Gagnon, G., Gagnon, F.,
Cognitive Chaotic UWB-MIMO Detect-Avoid Radar for Autonomous UAV Navigation,
ITS(17), No. 11, November 2016, pp. 3121-3131.
IEEE DOI 1609
Bayes methods BibRef

Jung, H.[Ha_Rim], Kim, U.M.[Ung-Mo],
The SSP-Tree: A Method for Distributed Processing of Range Monitoring Queries in Road Networks,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Deng, Z., Zhou, L.,
Detection and Recognition of Traffic Planar Objects Using Colorized Laser Scan and Perspective Distortion Rectification,
ITS(19), No. 5, May 2018, pp. 1485-1495.
IEEE DOI 1805
Cameras, Distortion, Feature extraction, Image color analysis, Laser noise, Shape, Autonomous vehicle, planar object detection and recognition BibRef

Eltrass, A.[Ahmed], Khalil, M.[Mohammed],
Automotive radar system for multiple-vehicle detection and tracking in urban environments,
IET-ITS(12), No. 8, October 2018, pp. 783-792.
DOI Link 1809
BibRef

Ma, L.F.[Ling-Fei], Li, Y.[Ying], Li, J.[Jonathan], Wang, C.[Cheng], Wang, R.[Ruisheng], Chapman, M.A.[Michael A.],
Mobile Laser Scanned Point-Clouds for Road Object Detection and Extraction: A Review,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef


Razali, H., Ouarti, N.,
Lidarbox: A fast and accurate method for object proposals VIA lidar point clouds for autonomous vehicles,
ICIP17(1352-1356)
IEEE DOI 1803
Automobiles, Autonomous vehicles, Laser radar, Proposals, Sensors, Point-Clouds BibRef

Chen, X., Ma, H., Wan, J., Li, B., Xia, T.,
Multi-view 3D Object Detection Network for Autonomous Driving,
CVPR17(6526-6534)
IEEE DOI 1711
Laser radar, Object detection, Proposals, BibRef

Askeland, S.A., Ekman, T.,
Tracking With a High-Resolution 2D Spectral Estimation Based Automotive Radar,
ITS(16), No. 5, October 2015, pp. 2418-2423.
IEEE DOI 1511
estimation theory BibRef

Peasley, B.[Brian], Birchfield, S.T.[Stanley T.],
Real-time obstacle detection and avoidance in the presence of specular surfaces using an active 3D sensor,
WORV13(197-202)
IEEE DOI 1307
BibRef

Haberjahn, M.[Mathias], Reulke, R.[Ralf],
Object Discrimination and Tracking in the Surroundings of a Vehicle by a Combined Laser Scanner Stereo System,
CVVT10(225-234).
Springer DOI 1109
BibRef

Catala-Prat, A., Köster, F., Reulke, R.,
Image And Laser Scanner Processing As Confident Cues For Object Detection In Driving Situations,
CloseRange10(xx-yy).
PDF File. 1006
BibRef

Izumi, K., Watanabe, K., Shindo, M., Sato, R.,
Acquisition of Obstacle Avoidance Behaviors for a Quadruped Robot Using Visual and Ultrasonic Sensors,
ICARCV06(1-6).
IEEE DOI 0612
BibRef

Zhang, F., Justh, E.W., Krishnaprasad, P.S.,
Boundary following using gyroscopic control,
DC04(V: 5204-5209).
IEEE DOI For guidance of space objects. BibRef 0400

Kalyan, B., Balasuriya, A., Ura, T., Wijesoma, S.,
Sonar and vision based navigation schemes for autonomous underwater vehicles,
ICARCV04(I: 437-442).
IEEE DOI 0412
BibRef

Sole, A., Mano, O., Stein, G.P., Kumon, H., Tamatsu, Y., Shashua, A.,
Solid or not solid: vision for radar target validation,
IVS04(819-824).
IEEE DOI 0411
Radar in dense urban traffic. Vision to validate radar. BibRef

Mendes, A., Bento, L.C., Nunes, U.,
Multi-target detection and tracking with a laser scanner,
IVS04(796-801).
IEEE DOI 0411
For collision avoidance. Detect other vehicles. BibRef

Sugimoto, S., Tateda, H., Takahashi, H., Okutomi, M.,
Obstacle detection using millimeter-wave radar and its visualization on image sequence,
ICPR04(III: 342-345).
IEEE DOI 0409
BibRef

Song, K.T.[Kai-Tai], Chen, C.H.[Chih-Hao], Huang, C.H.C.[Cheng-Hsien Chiu],
Design and experimental study of an ultrasonic sensor system for lateral collision avoidance at low speeds,
IVS04(647-652).
IEEE DOI 0411
BibRef

Hancock, J.,
Laser Intensity-Based Obstacle Detection and Tracking,
CMU-RI-TR-99-01, January, 1999.
HTML Version. BibRef 9901

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Airplane Obstacles, Collision Detection, Sense and Avoid, Aircraft Landings .


Last update:Nov 17, 2018 at 09:12:27