27 May 1996 Intersection navigation for unmanned ground vehicles
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The level of technology in multiple disciplines that would allow the construction of a vehicle capable of driving itself is near. Several years ago, the US Army recognized a deficiency existed in the image processing technology area and started a research and development program to demonstrate machine vision algorithms needed by unmanned ground vehicles. This technology program has spanned over a 3 year period and has evolved from a laboratory demonstration of the image processing algorithms to designing and developing the hardware necessary to road test the algorithms and access performance. This paper will present a part of this technology effort which implemented intersection detection and navigation using neural net image processing as well as GPS and sensor technology on a military vehicle to demonstrate the feasibility of totally autonomous vehicle navigation.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Karin R. Larsen, Karin R. Larsen, Keith Olson, Keith Olson, } "Intersection navigation for unmanned ground vehicles", Proc. SPIE 2738, Navigation and Control Technologies for Unmanned Systems, (27 May 1996); doi: 10.1117/12.241077; https://doi.org/10.1117/12.241077

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