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Proceedings Paper

Intersection navigation for unmanned ground vehicles
Author(s): Karin R. Larsen; Keith Olson
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Paper 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.

Paper Details

Date Published: 27 May 1996
PDF: 12 pages
Proc. SPIE 2738, Navigation and Control Technologies for Unmanned Systems, (27 May 1996); doi: 10.1117/12.241077
Show Author Affiliations
Karin R. Larsen, Nichols Research Corp. (United States)
Keith Olson, Nichols Research Corp. (United States)


Published in SPIE Proceedings Vol. 2738:
Navigation and Control Technologies for Unmanned Systems
Scott A. Speigle, Editor(s)

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