V-disparity Based UGV Obstacle Detection in Rough Outdoor Terrain

Desouza, 2002, Vision for mobile robot navigation: a survey, IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 237, 10.1109/34.982903 Pomerleau, 1995 Coombs, 1998, Real-time obstacle avoidance using central flow divergence and peripheral flow, IEEE Transactions on Robotics and Automation, 14, 49, 10.1109/70.660840 Ulrich, 2000, Appearance-based obstacle detection with monocular color vision, 866 Saxena, 2008, 3-D depth reconstruction from a single still image, International Journal of Computer Vision, 76, 53, 10.1007/s11263-007-0071-y Klarquist, 1995, Maximum likelihood depth from defocus for active vision, 374 Rajagopalan, 2004, Depth estimation and image restoration using defocused stereo pairs, IEEE Transactions on Pattern Analysis and Machine Intelligence, 26, 1521, 10.1109/TPAMI.2004.102 Bellutta, 2000, Terrain perception for DEMO III, 3 Rankin, 2005 Thrun, 2006, Stanley, the robot that won the DARPA grand challenge, Journal of Robotics Systems, 23, 661 Konolige, 2006, Outdoor mapping and navigation using stereo vision, 179 Manduchi, 2005, Obstacle detection and terrain classification for autonomous off-road navigation, Autonomous Robots, 18, 81, 10.1023/B:AURO.0000047286.62481.1d Matthies, 2007, Computer vision on Mars, International Journal of Computer Vision, 75, 67, 10.1007/s11263-007-0046-z Broggi, 2005, Obstacle detection with stereo vision for off-road vehicle navigation, 65 Broggi, 2006, The single frame stereo vision system for reliable obstacle detection used during the 2005 DARPA grand challenge on terramax, 745 Caraffi, 2007, Off-road path and obstacle detection using decision networks and stereo vision, IEEE Transactions on Intelligent Transportation Systems, 8, 607, 10.1109/TITS.2007.908583 Schafer B H. Terrain Negotiation in Rough Outdoor Environment, Technical Report, Department of Informatics Kaiserslautern University of Technology, Germany, 2005 Schafer, 2005 Scharstein, 2002, A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, International Journal of Computer Vision, 47, 7, 10.1023/A:1014573219977