Real-time Dynamic Object Detection for Autonomous Driving using Prior 3D-Maps

@inproceedings{Kiran2018RealtimeDO,
  title={Real-time Dynamic Object Detection for Autonomous Driving using Prior 3D-Maps},
  author={B. R. Kiran and Luis Rold{\~a}o and Be{\~n}at Irastorza and Renzo Verastegui and Sebastian S{\"u}ss and S. Yogamani and V. Talpaert and A. Lepoutre and Guillaume Trehard},
  booktitle={ECCV Workshops},
  year={2018}
}
  • B. R. Kiran, Luis Roldão, +6 authors Guillaume Trehard
  • Published in ECCV Workshops 2018
  • Computer Science
  • Lidar has become an essential sensor for autonomous driving as it provides reliable depth estimation. [...] Key Method The prior 3D maps provide a static background model and we formulate dynamic object detection as a background subtraction problem. Computation and modeling challenges in the mapping and online execution pipeline are described. We propose a rejection cascade architecture to subtract road regions and other 3D regions separately. We implemented an initial version of our proposed algorithm and…Expand Abstract

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