Abstract
Visual collision avoidance involves two difficult subproblems: obstacle recognition and depth measurement. We present a class of algorithms that use particularly simple methods for each subproblem and derive a set of sufficient conditions for their proper functioning based on a set of idealizations. We then discuss and compare two different implementations of the approach and discuss their performance. Finally, we experimentally validate the idealizations.
| Original language | English (US) |
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| Title of host publication | IEEE/RSJ/GI International Conference on Intelligent Robots and Systems |
| Publisher | IEEE |
| Pages | 902-909 |
| Number of pages | 8 |
| Volume | 2 |
| State | Published - Dec 1 1994 |
| Event | Proceedings of the IEEE/RSJ/GI International Conference on Intelligent Robots and Systems. Part 3 (of 3) - Munich, Ger Duration: Sep 12 1994 → Sep 16 1994 |
Other
| Other | Proceedings of the IEEE/RSJ/GI International Conference on Intelligent Robots and Systems. Part 3 (of 3) |
|---|---|
| City | Munich, Ger |
| Period | 9/12/94 → 9/16/94 |
ASJC Scopus subject areas
- Engineering(all)