Abstract
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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Kaempchen, N., Zocholl, M., Dietmayer, K.C.J. (2004). Spatio–temporal Segmentation Using Laserscanner and Video Sequences. In: Rasmussen, C.E., Bülthoff, H.H., Schölkopf, B., Giese, M.A. (eds) Pattern Recognition. DAGM 2004. Lecture Notes in Computer Science, vol 3175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28649-3_45
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DOI: https://doi.org/10.1007/978-3-540-28649-3_45
Publisher Name: Springer, Berlin, Heidelberg
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