Intersection navigation for unmanned ground vehicles

Karin R. Larsen; Keith Olson

doi:10.1117/12.241077

27 May 1996 Intersection navigation for unmanned ground vehicles

Karin R. Larsen, Keith Olson

Proceedings Volume 2738, Navigation and Control Technologies for Unmanned Systems; (1996) https://doi.org/10.1117/12.241077
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

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.

Citation Download Citation

Karin R. Larsen and Keith Olson "Intersection navigation for unmanned ground vehicles", Proc. SPIE 2738, Navigation and Control Technologies for Unmanned Systems, (27 May 1996); https://doi.org/10.1117/12.241077

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