Vision-Based Navigation for Autonomous Ground Vehicles
MARYLAND UNIV COLLEGE PARK CENTER FOR AUTOMATION RESEARCH
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This report describes research on ground navigation, dynamic visual surveillance, parallel vision, parallel search, and parallel matrix operations. Specific problems addressed include planning safe paths on terrain, estimating range shadows, road reconstruction, dynamic object pose estimation and tracking quadtree and pyramid algorithms, border following, Hough transformation, and graph matching.
- Computer Systems
- Surface Transportation and Equipment
- Navigation and Guidance