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A trunk ranging system based on binocular stereo vision

Xixuan Zhao, Jiangming Kan

Year
2017
Citations
2

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.

Keywords

RangingComputer scienceComputer visionTrunkRobotArtificial intelligenceBinocular visionLaser rangingStereopsisOptics

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