Abstract
This paper describes a simple vision-based mapping system for mobile robot navigation in an unknown outdoor environment, consistent with the efforts of Georgia Tech's team for the DARPA-sponsored Learning Applied to Ground Robots (LAGR) project. This approach, which has been robust to different environments and responsive to time-critical constraints, is a good example of robotics in practice

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