15.3.3.5 Obstacles, Collision, Other Vehicles, Objects on the Road

Zheng, Y., Jones, D.G., Billings, S.A., Mayhew, J.E.W., Frisby, J.P.,
Switcher: A Stereo Algorithm for Ground Plane Obstacle Detection,
IVC(8), No. 1, February 1990, pp. 57-62.
WWW Version. BibRef 9002

Ellwood, G.J., Zheng, Y., Mayhew, J.E.W.,
Docking for mobile robots,
BMVC94(xx-yy).
PDF Version. 9409
BibRef

Ellwood, G.J., Zheng, Y., Billings, S.A., Mayhew, J.E.W., Frisby, J.P.,
Ground Plane Motion Parameter Estimation for Non-circular Paths,
BMVC92(xx-yy).
PDF Version. 9209
BibRef

Cornell, S.M., Porrill, J., Mayhew, J.E.W.,
Ground Plane Obstacle Detection Under Variable Camera Geometry Using a Predictive Stereo Matcher,
BMVC92(xx-yy).
PDF Version. 9209
BibRef

Shao, Y., Mayhew, J.E.W., Hippisley-Cox, S.D.,
Ground Plane Obstacle Detection of Stereo Vision under Variable Camera Geometry Using Neural Nets,
BMVC95(xx-yy).
PDF Version. 9509
BibRef

Asayama, Y.[Yoshiaki],
Vehicle-to-vehicle distance detecting apparatus,
US_Patent5,165,108, Nov 17, 1992
WWW Version. User specifies the vehicle. BibRef 9211

Kajiwara, Y.[Yasuya],
Car interval control apparatus,
US_Patent5,177,462, Jan 5, 1993
WWW Version. BibRef 9301

Asayama, Y.[Yoshiaki],
Distance detecting apparatus for a vehicle,
US_Patent5,214,408, May 25, 1993
WWW Version. BibRef 9305

Zielke, T., Brauckmann, M., and von Seelen, W.,
Intensity and Edge-Based Symmetry Detection with an Application to Car-Following,
CVGIP(58), No. 2, September 1993, pp. 177-190.
WWW Version. BibRef 9309
Earlier:
Cartrack: Computer Vision-Based Car Following,
WACV92(156-163).
IEEE Abstract. IEEE Top Reference. BibRef
Earlier:
Intensity and Edge-Based Symmetry Detection Applied to Car Following,
ECCV92(865-873).
Springer DOI Link BibRef

Xie, M., Trassoudaine, L., Alizon, J., Gallice, J.,
Road Obstacle Detection and Tracking by an Active and Intelligent Sensing Strategy,
MVA(7), No. 3, 1994, pp. 165-177. BibRef 9400

Xie, M., Trassoudaine, L., Alizon, J., Thonnat, M., Gallice, J.,
Active and intelligent sensing of road obstacles: Application to the European Eureka-PROMETHEUS project,
ICCV93(616-623).
IEEE DOI Link 0403
BibRef

Cameron, S.,
Obstacle Avoidance and Path Planning,
IndRob(21), No. 5, 1994, pp. 9-14. BibRef 9400

Russo, M.F., Petersen, J., Echols, M.,
Machine Vision for Error-Detection and Avoidance in Laboratory Robotics,
LRobA(7), No. 3, June 1995, pp. 145-157. BibRef 9506

Bhanu, B., Das, S., Roberts, B., Duncan, D.,
A System for Obstacle Detection During Rotorcraft Low-Altitude Flight,
AeroSys(32), No. 3, July 1996, pp. 875-897. 9608
BibRef
Earlier: A1, A3, A4, A2: WACV92(92-99).
IEEE Abstract. IEEE Top Reference. BibRef

Xie, M.,
Matching Free Stereovision for Detecting Obstacles on a Ground Plane,
MVA(9), No. 1, 1996, pp. 9-13.
HTML Version. 9608
BibRef

Maekawa, H.[Hiroko],
Image tracking device and image tracking method,
US_Patent5,530,771, Jun 25, 1996
WWW Version. BibRef 9606

Zhang, Z.F.[Zhong-Fei], Weiss, R.[Richard], and Hanson, A.R.[Allen R.],
Obstacle Detection Based on Qualitative and Quantitative 3D Reconstruction,
PAMI(19), No. 1, January 1997, pp. 15-26.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9702
BibRef
Earlier:
Obstacle Detection Based on Partial 3D Reconstruction,
ARPA94(II:1077-1082). BibRef
And:
Qualitative Obstacle Detection,
CVPR94(554-559).
IEEE Abstract. IEEE Top Reference. BibRef
And: UMassCS-TR-94-20, March 1990.
Postscript Version. Three algorithms using different assumptions. Two are qualitative -- only Yes or No regarding obstacles. One uses knowledge of the ground plane, the second only assumes the ground plane is planar. The third is quantitative -- it estimates the ground plane and approximate (partial) 3D structure by determining Height above the ground plane. Conclued Third is superior. See also 3D Reconstruction Based on Homography Mapping. BibRef

Zhang, Z.F.[Zhong-Fei], Weiss, R.[Richard], and Hanson, A.R.[Allen R.],
Automatic Calibration and Visual Servoing for a Robot Navigation System,
UMassCS-TR-93-14, February 1993. BibRef 9302
Earlier:
Postscript Version.
Automatic Calibration for a Robot Navigation System,
UMassCS-TR-92-70, October 1992.
Postscript Version. BibRef

Leou, J.J., Chang, Y.L., Wu, J.S.,
Robot Operation Monitoring for Collision Avoidance by Image Sequence Analysis,
PR(25), No. 8, August 1992, pp. 855-867.
WWW Version. BibRef 9208

Freund, E., Hoyer, H.,
Real-Time Pathfinding in Multirobot Systems Including Obstacle Avoidance,
IJRR(7), No. 1, 1988, pp. 42-70. BibRef 8800

Cheng, V.H.L.,
Concept Development of Automatic Guidance for Rotorcraft Obstacle Avoidance,
RA(6), 1990, pp. 252-257. BibRef 9000

Griswold, N.C., Eem, J.,
Control for Mobile Robots in the Presence of Moving Objects,
RA(6), 1990, pp. 263-268. BibRef 9000

Gewali, L.P., Ntafos, S., Tollis, I.G.,
Path Planning in the Presence of Vertical Obstacles,
RA(6), 1990, pp. 331-341. BibRef 9000

Nishitani, K.[Katsuo],
Distance measuring apparatus of a target tracking type,
US_Patent5,515,448, May 7, 1996
WWW Version. BibRef 9605

Fujimori, A., Nikiforuk, P.N., Gupta, M.M.,
Adaptive Navigation of Mobile Robots with Obstacle Avoidance,
RA(13), No. 4, August 1997, pp. 596-602. 9708
BibRef

Sargent, R., Bailey, B., Witty, C., Wright, A.,
Dynamic Object Capture Using Fast Vision Tracking,
AIMag(18), No. 1, Spring 1997, pp. 65-72. 9704
Robot Contest system. BibRef

Asayama, Y.[Yoshiaki],
Obstacle detecting system for a motor vehicle,
US_Patent5,633,705, May 27, 1997
WWW Version. with stereo BibRef 9705

Whittaker, W.L.[William L.], West, J.H.[Jay H.], Singh, S.J.[Sanjiv J.], Lay, N.K.[Norman K.], Devier, L.J.[Lonnie J.],
System and method for detecting obstacles in a road,
US_Patent5,680,313, Oct 21, 1997
WWW Version. BibRef 9710

Bertozzi, M., Broggi, A.,
GOLD: A Parallel Real-Time Stereo Vision System for Generic Obstacle and Lane Detection,
IP(7), No. 1, January 1998, pp. 62-81.
IEEE DOI Link 9801
BibRef

Bertozzi, M.[Massimo], Broggi, A., Fascioli, A.,
A Stereo Vision System for Real-Time Automotive Obstacle Detection,
ICIP96(II: 681-684).
IEEE DOI Link BibRef 9600

Nair, D., Aggarwal, J.K.,
Moving Obstacle Detection from a Navigating Robot,
RA(14), No. 3, June 1998, pp. 404-416. 9806
BibRef
Earlier:
Detecting unexpected moving obstacles that appear in the path of a navigating robot,
ICIP94(II: 311-315).
IEEE DOI Link 9411
BibRef

Kasprzak, W., Niemann, H.,
Adaptive Road Recognition and Ego-State Tracking in the Presence of Obstacles,
IJCV(28), No. 1, June 1998, pp. 5-26.
WWW Version. 9807
BibRef

Kasprzak, W.[Wlodzimierz], Niemann, H.[Heinrich], Wetzel, D.[Dirk],
Adaptive Road Parameter Estimation in Monocular Image Sequence,
BMVC94(xx-yy).
PDF Version. 9409
BibRef
And:
Adaptive estimation procedures for dynamic road scene analysis,
ICIP94(I: 563-567).
IEEE DOI Link 9411
BibRef

Li, F.X.[Fu-Xing], Brady, M.[Michael],
Modeling the Ground Plane Transformation for Real-Time Obstacle Detection,
CVIU(71), No. 1, July 1998, pp. 137-152.
WWW Version. BibRef 9807

Stella, E., Lovergine, F.P., d'Orazio, T., and Distante, A.,
A Visual Tracking Technique Suitable for Control of Convoys,
PRL(16), 1995, pp. 925-932. BibRef 9500

Kuehnle, A.,
Symmetry-Based Recognition of Vehicle Rears,
PRL(12), 1991, pp. 249-258. BibRef 9100

Schneiderman, H., Nashman, M.,
A Discriminating Feature Tracker for Vision-Based Autonomous Driving,
RA(10), 1994, pp. 769-775. BibRef 9400
Earlier:
Visual Processing for Autonomous Driving,
WACV92(164-171).
IEEE Abstract. IEEE Top Reference. See also Vision-Based Robotic Convoy Driving. BibRef

Raboisson, S.[Stephane], Even, G.[Gilles],
Method of analyzing sequences of road images, device for implementing it and its application to detecting obstacles,
US_Patent5,706,355, Jan 6, 1998
WWW Version. BibRef 9801

Ruichek, Y.[Yassine], Postaire, J.G.[Jack-Gérard],
A New Neural Real-Time Implementation for Obstacle Detection using Linear Stereo Vision,
RealTimeImg(5), No. 2, April 1999, pp. 141-153. See also Neural Matching Algorithm for 3-D Reconstruction from Stereo Pairs of Linear Images, A. BibRef 9904

Ruichek, Y.[Yassine],
Multilevel- and Neural-Network-Based Stereo-Matching Method for Real-Time Obstacle Detection Using Linear Cameras,
ITS(6), No. 1, March 2005, pp. 54-62.
IEEE Abstract. IEEE Top Reference. 0501
BibRef

Takeda, S.[Shu], Tojima, M.[Masanori], Takeda, K.[Koji],
Unmanned vehicle running system,
US_Patent6,321,147, Nov 20, 2001
WWW Version. Obstacle detection and other things. BibRef 0111

Lohner, H.[Herbert], Dominke, P.[Peter], Cao, C.T.[Chi-Thuan], Leimbach, K.D.[Klaus-Dieter], Harter, W.[Werner], Hommel, M.[Mathias],
Automatic following guidance system for motor vehicles,
US_Patent6,370,471, Apr 9, 2002
WWW Version. Variety of sensors and techniques. BibRef 0204

Iwata, A.[Ayami], Kato, K.[Kunihito], Yamamoto, K.[Kazuhiko],
The Detection Of Obstacles By The Horizon View Camera,
IJIG(2), No. 2, April 2002, pp. 331-341. 0204
BibRef
Earlier:
The Detection of Obstacles Using Features by the Horizon View Camera,
VI02(133).
PDF Version. 0208
BibRef

Hahn, S.[Stefan], Stein, F.J.[Fridtjof J.],
System for optical acquisition of the road,
US_Patent6,067,111, 05/23/2000.
HTML Version. BibRef 0005

Stiller, C., Hipp, J., Rössig, C., Ewald, A.,
Multisensor obstacle detection and tracking,
IVC(18), No. 5, April 2000, pp. 389-396.
WWW Version. 0003
BibRef

Franke, U., Heinrich, S.,
Fast obstacle detection for urban traffic situations,
ITS(3), No. 3, September 2002, pp. 173-181.
IEEE Abstract. IEEE Top Reference. 0402
BibRef

Franke, U.[Uwe],
Method for stereo image object detection,
US_Patent5,937,079, Aug 10, 1999
WWW Version. BibRef 9908

Taniguchi, Y.[Yasuhiro],
Moving object detection apparatus and method,
US_Patent5,991,428, Nov 23, 1999
WWW Version. BibRef 9911
And: US_Patent6,456,730, Sep 24, 2002
WWW Version. Vanishing point based BibRef

Sobottka, K., Bunke, H.,
Investigating Anytime Algorithms for Future Distance Warning Systems,
RealTimeImg(8), No. 1, February 2002, pp. 61-71.
WWW Version. 0204
BibRef

Halsted, M.[Milton], Williamson, H.[Harvey],
Collision warning system,
US_Patent6,470,273, Oct 22, 2002
WWW Version. BibRef 0210

Zhou, H.Y.[Hui-Yu], Wallace, A.M.[Andrew M.], Green, P.R.[Patrick R.],
A multistage filtering technique to detect hazards on the ground plane,
PRL(24), No. 9-10, June 2003, pp. 1453-1461.
WWW Version. 0304
BibRef

Nguyn, K.H.[Katerina H.],
System, method and article of manufacture for detecting collisions between video images generated by a camera and an object depicted on a display,
US_Patent6,738,066, May 18, 2004
WWW Version. BibRef 0405

Nichani, S.[Sanjay],
Obstacle detection system,
US_Patent6,678,394, Jan 13, 2004
WWW Version. BibRef 0401
And:
Lane detection system and apparatus,
US_Patent6,819,779, Nov 16, 2004
WWW Version. BibRef

Gandhi, T.[Tarak], Trivedi, M.M.[Mohan M.],
Parametric ego-motion estimation for vehicle surround analysis using an omnidirectional camera,
MVA(16), No. 2, February 2005, pp. 85-95.
Springer DOI Link 0501
BibRef
Earlier:
Motion based vehicle surround analysis using an omni-directional camera,
IVS04(560-565).
IEEE Abstract. IEEE Top Reference. 0411
BibRef

Gandhi, T.[Tarak], Trivedi, M.M.[Mohan M.],
Panoramic Appearance Map (PAM) for Multi-camera Based Person Re-identification,
AVSBS06(78-78).
IEEE DOI Link 0611
BibRef
Earlier:
Dynamic Panoramic Surround Map: Motivation and Omni Video Based Approach,
MVIV05(III: 61-61).
IEEE DOI Link 0507
BibRef
Earlier:
Vehicle Mounted Wide FOV Stereo for Traffic and Pedestrian Detection,
ICIP05(II: 121-124).
IEEE DOI Link 0512
BibRef

Jeong, P.[Pangyu], Nedevschi, S.,
Efficient and Robust Classification Method Using Combined Feature Vector for Lane Detection,
CirSysVideo(15), No. 4, April 2005, pp. 528-537.
IEEE Abstract. IEEE Top Reference. 0501
BibRef
Earlier:
Efficient Classification Method for Autonomous Driving Application,
ICIAR04(I: 228-235).
WWW Version. 0409
BibRef
Earlier:
Intelligent road detection based on local averaging classifier in real-time environments,
CIAP03(245-249).
IEEE Abstract. IEEE Top Reference. 0310
BibRef

Jeong, P.[Pangyu], Nedevschi, S.,
Local Difference Probability (LDP)-Based Environment Adaptive Algorithm for Unmanned Ground Vehicle,
ITS(7), No. 3, September 2006, pp. 282-292.
IEEE DOI Link 0609
BibRef

Jeong, P.[Pangyu], Nedevschi, S., Daniliuc, M.,
Local probability based safe region detection for autonomous driving,
IVS04(744-749).
IEEE Abstract. IEEE Top Reference. 0411
BibRef

Sun, Z.[Zehang], Bebis, G.N., Miller, R.,
On-Road Vehicle Detection Using Evolutionary Gabor Filter Optimization,
ITS(6), No. 2, June 2005, pp. 125-137.
IEEE Abstract. IEEE Top Reference. 0506
BibRef

Sun, Z.[Zehang], Bebis, G.N., Miller, R.,
On-Road Vehicle Detection: A Review,
PAMI(28), No. 5, May 2006, pp. 694-711.
IEEE DOI Link 0604
For driver assistance system. BibRef

Wang, J.X.[Jun-Xian], Bebis, G.N., Miller, R.,
Overtaking Vehicle Detection Using Dynamic and Quasi-Static Background Modeling,
MVIV05(III: 64-64).
IEEE DOI Link 0507
BibRef

Sun, Z., Bebis, G.N., Miller, R.,
Monocular Precrash Vehicle Detection: Features and Classifiers,
IP(15), No. 7, July 2006, pp. 2019-2034.
IEEE DOI Link 0606
BibRef

Sun, Z.[Zehang], Miller, R., Bebis, G.N., DiMeo, D.,
A real-time precrash vehicle detection system,
WACV02(171-176).
IEEE Abstract. IEEE Top Reference. 0303
BibRef

Huang, D., Leung, H.,
An Expectation-Maximization-Based Interacting Multiple Model Approach for Cooperative Driving Systems,
ITS(6), No. 2, June 2005, pp. 206-228.
IEEE Abstract. IEEE Top Reference. 0506
BibRef

Rad, R.[Roya], Jamzad, M.[Mansour],
Real time classification and tracking of multiple vehicles in highways,
PRL(26), No. 10, 15 July 2005, pp. 1597-1607. 0506
BibRef

Stilwell, D.J., Bishop, B.E., Sylvester, C.A.,
Redundant manipulator techniques for partially decentralized path planning and control of a platoon of autonomous vehicles,
SMC-B(35), No. 4, August 2005, pp. 842-848.
IEEE DOI Link 0508
BibRef

Belkhouche, F., Belkhouche, B.,
Modeling and controlling a robotic convoy using guidance laws strategies,
SMC-B(35), No. 4, August 2005, pp. 813-825.
IEEE DOI Link 0508
BibRef

Belkhouche, F., Belkhouche, B., Rastgoufard, P.,
Line of Sight Robot Navigation Toward a Moving Goal,
SMC-B(36), No. 2, April 2006, pp. 255-267.
IEEE DOI Link 0604
BibRef

Oh, C., Oh, J.S., Ritchie, S.G.,
Real-Time Hazardous Traffic Condition Warning System: Framework and Evaluation,
ITS(6), No. 3, September 2005, pp. 265-272.
IEEE DOI Link 0509
BibRef

Panwai, S., Dia, H.,
Comparative Evaluation of Microscopic Car-Following Behavior,
ITS(6), No. 3, September 2005, pp. 314-325.
IEEE DOI Link 0509
BibRef

Kawada, R.[Ryoichi], Wada, M.[Masahiro], Matsumoto, S.[Shuichi],
Detection apparatus for road obstructions,
US_Patent6,952,449, Oct 4, 2005
WWW Version. BibRef 0510

Abdel-Aty, M.A., Pande, A.,
ATMS implementation system for identifying traffic conditions leading to potential crashes,
ITS(7), No. 1, March 2006, pp. 78-91.
IEEE DOI Link 0604
BibRef

Yue, S.G.[Shi-Gang], Rind, F.C.[F. Claire],
Visual motion pattern extraction and fusion for collision detection in complex dynamic scenes,
CVIU(104), No. 1, October 2006, pp. 48-60.
WWW Version. 0609
Visual motion; Pattern recognition; Collision detection; Neural network; Locust; LGMD; Direction selectivity; Complex dynamic scene; Nature-inspired information processing BibRef

Chen, Z.Z.[Ze-Zhi], Pears, N.[Nick], Liang, B.J.[Bo-Jian],
Monocular obstacle detection using reciprocal-polar rectification,
IVC(24), No. 12, 1 December 2006, pp. 1301-1312.
WWW Version. 0610
Homography; Fundamental matrix; Segmentation; Reciprocal-polar rectification; Image rectification See also Mobile Robot Visual Navigation Using Multiple Features. BibRef

Hillenbrand, J., Spieker, A.M., Kroschel, K.,
A Multilevel Collision Mitigation Approach: Its Situation Assessment, Decision Making, and Performance Tradeoffs,
ITS(7), No. 4, December 2006, pp. 528-540.
IEEE DOI Link 0701
BibRef

Tan, H.S.[Han-Shue], Huang, J.,
DGPS-Based Vehicle-to-Vehicle Cooperative Collision Warning: Engineering Feasibility Viewpoints,
ITS(7), No. 4, December 2006, pp. 415-428.
IEEE DOI Link 0701
BibRef

Huang, J., Tan, H.S.[Han-Shue],
Error Analysis and Performance Evaluation of a Future-Trajectory-Based Cooperative Collision Warning System,
ITS(10), No. 1, March 2009, pp. 175-180.
IEEE DOI Link 0903
BibRef

Kunwar, F., Benhabib, B.,
Rendezvous-Guidance Trajectory Planning for Robotic Dynamic Obstacle Avoidance and Interception,
SMC-B(36), No. 6, December 2006, pp. 1432-1441.
IEEE DOI Link 0701
BibRef

Zhu, Y., Comaniciu, D., Pellkofer, M., Koehler, T.,
Reliable Detection of Overtaking Vehicles Using Robust Information Fusion,
ITS(7), No. 4, December 2006, pp. 401-414.
IEEE DOI Link 0701
BibRef

Gehrig, S.K.[Stefan K.], Stein, F.J.[Fridtjof J.],
Collision Avoidance for Vehicle-Following Systems,
ITS(8), No. 2, April 2007, pp. 233-244.
IEEE DOI Link 0706
BibRef

Gehrig, S.K.[Stefan K.], Stein, F.J.[Fridtjof J.],
Cartography and Dead Reckoning Using Stereo Vision for an Autonomous Car,
ICIP99(IV:30-34).
IEEE Abstract. IEEE Top Reference. BibRef 9900

Woelk, F.[Felix], Gehrig, S.K.[Stefan K.], Koch, R.[Reinhard],
A Monocular Collision Warning System,
CRV05(220-227).
IEEE DOI Link 0505
BibRef

Polychronopoulos, A., Tsogas, M., Amditis, A.J., Andreone, L.,
Sensor Fusion for Predicting Vehicles' Path for Collision Avoidance Systems,
ITS(8), No. 3, September 2007, pp. 549-562.
IEEE DOI Link 0710
BibRef

Caraffi, C., Cattani, S.[Stefano], Grisleri, P.,
Off-Road Path and Obstacle Detection Using Decision Networks and Stereo Vision,
ITS(8), No. 4, December 2007, pp. 607-618.
IEEE DOI Link 0712
BibRef

Broggi, A., Caraffi, C., Fedriga, R.I., Grisleri, P.,
Obstacle Detection with Stereo Vision for Off-Road Vehicle Navigation,
MVIV05(III: 65-65).
IEEE DOI Link 0507
BibRef

Ahmed, J.[Javed], Jafri, M.N., Shah, M.[Mubarak], Akbar, M.[Muhammad],
Real-time edge-enhanced dynamic correlation and predictive open-loop car-following control for robust tracking,
MVA(19), No. 1, January 2008, pp. 1-25.
Springer DOI Link 0801
BibRef

Ahmed, J.[Javed], Jafri, M.N.[M. Noman],
Best-match rectangle adjustment algorithm for persistent and precise correlation tracking,
ICMV07(91-96).
IEEE DOI Link 0712
BibRef

Zhang, W., Wu, Q.M.J., Yang, X., Fang, X.,
Multilevel Framework to Detect and Handle Vehicle Occlusion,
ITS(9), No. 1, March 2008, pp. 161-174.
IEEE DOI Link 0803
BibRef

Hsu, H.C.H., Liu, A.,
Kinematic Design for Platoon-Lane-Change Maneuvers,
ITS(9), No. 1, March 2008, pp. 185-190.
IEEE DOI Link 0803
BibRef

Kim, S.J.[Su-Jeong], Redon, S.[Stephane], Kim, Y.J.[Young J.],
Continuous collision detection for adaptive simulation of articulated bodies,
VC(24), No. 4, April 2008, pp. xx-yy.
Springer DOI Link 0804
BibRef

Toulminet, G.[GwenaËlle], Mousset, S.[StÉphane], Bensrhair, A.[Abdelaziz],
Fast And Accurate Stereo Vision-based Estimation Of 3d Position And Axial Motion Of Road Obstacles,
IJIG(4), No. 1, January 2004, pp. 99-125. 0401
BibRef

Wang, C., Coifman, B.,
The Effect of Lane-Change Maneuvers on a Simplified Car-Following Theory,
ITS(9), No. 3, September 2008, pp. 523-535.
IEEE DOI Link 0809
BibRef

Vasquez, D.[Dizan], Fraichard, T.[Thierry], Aycard, O.[Olivier], Laugier, C.[Christian],
Intentional motion on-line learning and prediction,
MVA(19), No. 5-6, October 2008, pp. xx-yy.
Springer DOI Link 0810
BibRef

Vasquez, D.[Dizan], Fraichard, T.[Thierry], Laugier, C.[Christian],
Incremental Learning of Statistical Motion Patterns With Growing Hidden Markov Models,
ITS(10), No. 3, September 2009, pp. 403-416.
IEEE DOI Link 0909
BibRef

Vasquez, D., Large, F., Fraichard, T., Laugier, C.,
Moving obstacles' motion prediction for autonomous navigation,
ICARCV04(I: 149-154).
IEEE DOI Link 0412
BibRef

Kim, S.Y.[Sam-Yong], Oh, S.Y.[Se-Young],
On-road vehicle detection and tracking based on road context and the ambient lighting adaptive framework,
IJIST(18), No. 5-6, 2008, pp. 283-295.
WWW Version. 0804
BibRef

Wu, Z., Liu, Y., Pan, G.,
A Smart Car Control Model for Brake Comfort Based on Car Following,
ITS(10), No. 1, March 2009, pp. 42-46.
IEEE DOI Link 0903
BibRef

Cherng, S., Fang, C.Y., Chen, C.P., Chen, S.W.,
Critical Motion Detection of Nearby Moving Vehicles in a Vision-Based Driver-Assistance System,
ITS(10), No. 1, March 2009, pp. 70-82.
IEEE DOI Link 0903
BibRef

Pan, Y.J.,
Decentralized Robust Control Approach for Coordinated Maneuvering of Vehicles in Platoons,
ITS(10), No. 2, June 2009, pp. 346-354.
IEEE DOI Link 0906
BibRef

Chang, C.Y., Chou, Y.R.,
Development of Fuzzy-Based Bus Rear-End Collision Warning Thresholds Using a Driving Simulator,
ITS(10), No. 2, June 2009, pp. 360-365.
IEEE DOI Link 0906
BibRef

Takeda, N.[Nobuyuki], Hattori, H.[Hiroshi], Onoguchi, K.[Kazunori],
System and method for detecting obstacle,
US_Patent7,349,581, Mar 25, 2008
WWW Version. BibRef 0803

Nakai, H., Takeda, N., Hattori, H., Okamoto, Y., Onoguchi, K.,
A practical stereo scheme for obstacle detection in automotive use,
ICPR04(III: 346-350).
IEEE DOI Link 0409
BibRef

Nedevschi, S., Bota, S., Tomiuc, C.,
Stereo-Based Pedestrian Detection for Collision-Avoidance Applications,
ITS(10), No. 3, September 2009, pp. 380-391.
IEEE DOI Link 0909
See also Online Extrinsic Parameters Calibration for Stereovision Systems Used in Far-Range Detection Vehicle Applications. BibRef

Llorca, D.F., Sotelo, M.A., Parra, I., Naranjo, J.E., Gavilan, M., Alvarez, S.,
An Experimental Study on Pitch Compensation in Pedestrian-Protection Systems for Collision Avoidance and Mitigation,
ITS(10), No. 3, September 2009, pp. 469-474.
IEEE DOI Link 0909
BibRef

Darms, M.S., Rybski, P.E., Baker, C., Urmson, C.,
Obstacle Detection and Tracking for the Urban Challenge,
ITS(10), No. 3, September 2009, pp. 475-485.
IEEE DOI Link 0909
BibRef

Southall, B.[Ben], Bansal, M.[Mayank], Eledath, J.[Jayan],
Real-time vehicle detection for highway driving,
CVPR09(541-548).
IEEE DOI Link 0906
BibRef

Klein, J.[John], Lecomte, C.[Christele], Miche, P.[Pierre],
Preceding car tracking using belief functions and a particle filter,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Rass, S.[Stefan], Fuchs, S.[Simone], Kyamakya, K.[Kyandoghere],
A Game-Theoretic Approach to Co-operative Context-Aware Driving with Partially Random Behavior,
SSC08(154-167).
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Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Obstacles, Objects on the Road Using Radar, Sonar, Active Vision .