Reactive Obstacle Avoidance for Highly Maneuverable Vehicles Based on a Two-Stage Optical Flow Clustering

This paper proposes a reactive obstacle avoidance approach based solely on image data from a monocular camera stream. By clustering and analyzing the optical flow, this approach is able to identify potential collisions with dynamic obstacles. Epipolar geometry is exploited to derive velocity command...

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Veröffentlicht in:IEEE transactions on intelligent transportation systems 2017-08, Vol.18 (8), p.2137-2152
Hauptverfasser: Schaub, Alexander, Baumgartner, Daniel, Burschka, Darius
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Sprache:eng
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