6D-vision: fusion of stereo and motion for robust environment perception

作者: Uwe Franke , Clemens Rabe , Hernán Badino , Stefan Gehrig

DOI: 10.1007/11550518_27

关键词: StereopsisKalman filterMobile robotComputer visionImage processingAdvanced driver assistance systemsOccultationSegmentationObstacle avoidanceObject detectionComputer scienceArtificial intelligence

摘要: Obstacle avoidance is one of the most important challenges for mobile robots as well as future vision based driver assistance systems. This task requires a precise extraction of depth …

参考文章(11)
Hernán Badino, A robust approach for ego-motion estimation using a mobile stereo platform IWCM'04 Proceedings of the 1st international conference on Complex motion. pp. 198- 208 ,(2004) , 10.1007/978-3-540-69866-1_15
Yaakov Bar-Shalom, X.-Rong Li, Thiagalingam Kirubarajan, Estimation with Applications to Tracking and Navigation ,(2001)
Scott Nj Watamaniuk, Randolph Blake, Robert Sekuler, Perception of visual motion ,(2002)
Hans P. Moravec, Martin C. Martin, Robot Evidence Grids. ,(1996)
T. Dang, C. Hoffmann, C. Stiller, Fusing optical flow and stereo disparity for object tracking international conference on intelligent transportation systems. pp. 112- 117 ,(2002) , 10.1109/ITSC.2002.1041198
U. Franke, A. Joos, Real-time stereo vision for urban traffic scene understanding ieee intelligent vehicles symposium. pp. 273- 278 ,(2000) , 10.1109/IVS.2000.898354
U. Franke, C. Rabe, Kalman filter based depth from motion with fast convergence intelligent vehicles symposium. pp. 181- 186 ,(2005) , 10.1109/IVS.2005.1505099
A. Mallet, S. Lacroix, L. Gallo, Position estimation in outdoor environments using pixel tracking and stereovision international conference on robotics and automation. ,vol. 4, pp. 3519- 3524 ,(2000) , 10.1109/ROBOT.2000.845279