Qualitative obstacle detection
- 1 January 1994
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 10636919,p. 554-559
- https://doi.org/10.1109/cvpr.1994.323881
Abstract
Three different algorithms for qualitative obstacle detection are presented in this paper. Each one is based on different assumptions. The first two algorithms are aimed at yes/no obstacle detection without indicating which points are obstacles. They have the advantage of fast determination of the existence of obstacles in a scene based on the solvability of a linear system. The first algorithm uses information about the ground plane, while the second algorithm only assumes that the ground is planar. The third algorithm continuously estimates the ground plane, and based on that determines the height of each matched point in the scene. Experimental results are presented for real and simulated data, and performances of the three algorithms under different noise levels are compared in simulation. We conclude that in terms of the robustness of performance, the third one works best.Keywords
This publication has 4 references indexed in Scilit:
- Stereo from uncalibrated camerasPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Perception control for obstacle detection by a cross-country roverPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Obstacle avoidance using flow field divergencePublished by Institute of Electrical and Electronics Engineers (IEEE) ,1989
- MOTION AND STRUCTURE FROM MOTION IN A PIECEWISE PLANAR ENVIRONMENTInternational Journal of Pattern Recognition and Artificial Intelligence, 1988