Perception and Autonomous Navigation Using a Priori Data
Kevin L. Conrad, John R. Galloway, William P. Irwin, Walter H. Delashmit, James T. Jack, Govindaraj Kuntimad, Maritza Rosa Muguira, Charles Q. Little, R.R. Peters · SAE technical papers on CD-ROM/SAE technical paper series · 2006
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.