ML Anthology

Object Recognition in 3D LiDAR Data with Recurrent Neural Network

Danil V. Prokhorov
CVPRW 2009 pp. 9-15
doi:10.1109/CVPRW.2009.5204114 /cvprw/2009/prokhorov2009cvprw-object/

Abstract

This paper introduces a new method for object recognition which is based on a recurrent neural network trained in a supervised mode. The RNN inputs 3-dimensional laser scanner data sequentially, in a natural temporal order in which the laser returns arrive to the scanner. The method is illustrated on a two-class problem with real data.

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Cite

Text

Prokhorov. "Object Recognition in 3D LiDAR Data with Recurrent Neural Network." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2009. doi:10.1109/CVPRW.2009.5204114

Markdown

[Prokhorov. "Object Recognition in 3D LiDAR Data with Recurrent Neural Network." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2009.](https://mlanthology.org/cvprw/2009/prokhorov2009cvprw-object/) doi:10.1109/CVPRW.2009.5204114

BibTeX

@inproceedings{prokhorov2009cvprw-object,
  title     = {{Object Recognition in 3D LiDAR Data with Recurrent Neural Network}},
  author    = {Prokhorov, Danil V.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2009},
  pages     = {9-15},
  doi       = {10.1109/CVPRW.2009.5204114},
  url       = {https://mlanthology.org/cvprw/2009/prokhorov2009cvprw-object/}
}