A. Murarka, M. Sridharan and B. Kuipers. 2008. Detecting obstacles and drop-offs using stereo and motion cues for safe local motion.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-08).


A mobile robot operating in an urban environment has to navigate around obstacles and hazards. Though a significant amount of work has been done on detecting obstacles, not much attention has been given to the detection of drop-offs and other hazards where an error could lead to disastrous consequences. In this paper, we propose algorithms for detecting obstacles and drop-offs using stereo-vision and motion cues. We propose a color segmentation stereo method and compare its performance at detecting hazards with prior work using a correlation stereo method. Furthermore, we introduce a novel drop-off detection scheme based on motion cues that adds to the performance of the stereo-vision methods. All algorithms are implemented and tested on a physical robot platform in real urban environments.


[QR home: http://www.cs.utexas.edu/users/qr]