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Real-time Single-workstation Obstacle Avoidance Using Only Wide-field Flow Divergence

Theodore Camus, David Coombs, Martin Herman, Tsai Hong Hong

发表年份
1999
引用次数
12

摘要

A real-time robot vision system is described which uses only the divergence of the optical flow field for both steering control and collision detection. The robot has wandered about the lab at 20 cm/s for as long as 26 minutes without collision. The entire system is implemented on a single ordinary UNIX workstation without the benefit of real-time operating system support. Dense optical flow data are calculated in real-time across the entire wide-angle image. The divergence of this optical flow field is calculated everywhere and used to control steering and collision behavior. Divergence alone has proven sufficient for steering past objects and detecting imminent collision. The major contribution

关键词

WorkstationCollisionOptical flowComputer scienceCollision avoidanceDivergence (linguistics)Real-time computingObstacle avoidanceObstacleRobot

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