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Experimental Analysis of Overhead Data Processing To Support Long Range Navigation

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posted on 2006-01-01, 00:00 authored by David Silver, Boris Sofman, Nicolas Vandapel, J. Andrew Bagnell, Anthony Stentz
Long range navigation by unmanned ground ve- hicles continues to challenge the robotics community. Efficient navigation requires not only intelligent on-board perception and planning systems, but also the effective use of prior knowledge of the vehicle’s environment. This paper describes a system for supporting unmanned ground vehicle navigation through the use of heterogeneous overhead data. Semantic information is obtained through supervised classification, and vehicle mobility is predicted from available geometric data. This approach is demonstrated and validated through over 50 kilometers of autonomous traversal through complex natural environments.

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Date

2006-01-01

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    RoboticsAdaptive Agents and Intelligent Robotics

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