Voting for Voting in Online Point Cloud Object Detection

@inproceedings{Wang2015VotingFV,
  title={Voting for Voting in Online Point Cloud Object Detection},
  author={Dominic Zeng Wang and Ingmar Posner},
  booktitle={Robotics: Science and Systems},
  year={2015}
}
This paper proposes an efficient and effective scheme to applying the sliding window approach popular in computer vision to 3D data. [] Key Result For the object classes car, pedestrian and bicyclist the resulting detector achieves best-in-class detection and timing performance relative to prior art on the KITTI dataset as well as compared to another existing 3D object detection approach.

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