Intelligent Vision Systems for Unmanned Agricultural Vehicles (John Deere)
Cecil, Thomas Leavitt, Sarah Lindquist, Daniel Murphy, Chistopher
The John Deere team has worked towards the development of an intelligent vision system that could, in conjunction with GPS navigation systems, further the development of unmanned vehicles for the agricultural market. This system uses two-dimensional information from a pair of cameras in stereo to create a three-dimensional representation of the surrounding environment, which can be used for detecting obstacles, hazards, and other items of importance. In order to be priced appropriately for the agricultural market, such a system uses embedded technologies that are projected to undergo substantial reductions in price over the next several years.