A trunk ranging system based on binocular stereo vision

Xixuan Zhao; Jiangming Kan

doi:10.1117/12.2281658

21 July 2017 A trunk ranging system based on binocular stereo vision

Xixuan Zhao, Jiangming Kan

Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104204T (2017) https://doi.org/10.1117/12.2281658
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China

Abstract

Trunk ranging is an essential function for autonomous forestry robots. Traditional trunk ranging systems based on personal computers are not convenient in practical application. This paper examines the implementation of a trunk ranging system based on the binocular vision theory via TI’s DaVinc DM37x system. The system is smaller and more reliable than that implemented using a personal computer. It calculates the three-dimensional information from the images acquired by binocular cameras, producing the targeting and ranging results. The experimental results show that the measurement error is small and the system design is feasible for autonomous forestry robots.

Citation Download Citation

Xixuan Zhao and Jiangming Kan "A trunk ranging system based on binocular stereo vision", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104204T (21 July 2017); https://doi.org/10.1117/12.2281658

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