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Perception and Autonomous Navigation Using
a Priori
Data
Technical Paper
2006-01-1160
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Autonomous Navigation for military unmanned ground vehicles requires the ability to act without human intervention in increasingly difficult environments such as off-road terrain and military operations in urban terrain (MOUT). One method to accomplish this is through the combination of a local perception sensor suite with an a priori route planner and a local guidance algorithm that provides an automated obstacle detection, classification, and avoidance capability. This paper will detail the feasibility of this approach based on preliminary test results.
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Authors
- Kevin L. Conrad - Lockheed Martin Missiles and Fire Control
- John R. Galloway - Lockheed Martin Missiles and Fire Control
- William P. Irwin - Lockheed Martin Missiles and Fire Control
- Walter H. Delashmit - Lockheed Martin Missiles and Fire Control
- James T. Jack - Lockheed Martin Missiles and Fire Control
- Govindaraj Kuntimad - Lockheed Martin Missiles and Fire Control
- Maritza R. Muguira - Sandia National Laboratories
- Charles Q. Little - Sandia National Laboratories
- Ralph R. Peters - Sandia National Laboratories
Citation
Conrad, K., Galloway, J., Irwin, W., Delashmit, W. et al., "Perception and Autonomous Navigation UsingAlso In
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