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Ground Plane Detection with a New Local Disparity Texture Descriptor
Kangru WANG Lei QU Lili CHEN Jiamao LI Yuzhang GU Dongchen ZHU Xiaolin ZHANG
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2017/10/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Pattern Recognition
ground plane detection, Local Disparity Texture Descriptor (LDTD), stereo vision, convolution neural network,
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In this paper, a novel approach is proposed for stereo vision-based ground plane detection at superpixel-level, which is implemented by employing a Disparity Texture Map in a convolution neural network architecture. In particular, the Disparity Texture Map is calculated with a new Local Disparity Texture Descriptor (LDTD). The experimental results demonstrate our superior performance in KITTI dataset.