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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.
Xixuan Zhao andJiangming 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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Xixuan Zhao, 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