Object recognition in 3D lidar data with recurrent neural network

Danil V. Prokhorov

doi:10.1109/CVPRW.2009.5204114

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Object recognition in 3D lidar data with recurrent neural network

Year: 2009, Pages: 9-15

DOI Bookmark: 10.1109/CVPRW.2009.5204114

Authors

Danil V. Prokhorov, Toyota Research Institute NA, TTC-TEMA, Ann Arbor, MI 48105, USA

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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Object recognition in 3D lidar data with recurrent neural network

Authors

Abstract

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