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Time-to-collision from first-order models of the motion field

François G. Meyer

发表年份
1994
引用次数
54

摘要

Time-to-collision provides vital information for obstacle avoidance and for the visual navigation of a robot. The original contribution of this paper is to demonstrate with sequences of real images that time-to-collision can be robustly and accurately recovered with a single calibrated camera, using first order models of the motion field.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

关键词

ObstacleCollisionComputer scienceArtificial intelligenceComputer visionMotion (physics)Field (mathematics)RobotCollision avoidanceOrder (exchange)

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