Spatio-temporal Segmentation Using Laserscanner and Video Sequences

Reliable object detection and segmentation is crucial for active safety driver assistance applications. In urban areas where the object density is high, a segmentation based on a spatial criterion often fails due to small object distances. Therefore, optical flow estimates are combined with distance measurements of a Laserscanner in order to separate objects with different motions even if their distance is vanishing. Results are presented on real measurements taken in potentially harmful traffic scenarios.

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