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.
Perception and Autonomous Navigation Using a Priori Data
Sae Technical Papers
SAE 2006 World Congress & Exhibition ; 2006
2006-04-03
Conference paper
English
Perception and autonomous navigation using a priori data
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