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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