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Obstacle Detection Using Stereo Vision To Enhance Safety of Autonomous Machines

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Paper number  055006,  2005 ASAE Annual Meeting . (doi: 10.13031/2013.19531) @2005
Authors:   Jiantao Wei, Francisco Rovira-Mas, John F. Reid, Shufeng Han
Keywords:   Stereovision, Obstacle detection, Safety, Autonomous machine

As semi-autonomous and autonomous vehicles are finding more and more applications in agriculture, the capability of detecting obstacles in the field and taking appropriate safety actions will become more critical. This paper presents an obstacle detection system using a binocular stereovision camera. Field tests using a standing person as the potential obstacle indicated that the system could reliably detect the obstacle and its motion status in the vicinity of an agricultural vehicle, although the accuracy of the system decreased as the range between the vehicle and obstacle increased.

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