Object recognition in 3D lidar data with recurrent neural network

Danil V. Prokhorov
2009 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
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.
doi:10.1109/cvprw.2009.5204114 dblp:conf/cvpr/Prokhorov09 fatcat:z2le3vxcvnastpmldvy74tv64a