Mapping, navigation, and learning for off-road traversal
نویسندگان
چکیده
منابع مشابه
Mapping, navigation, and learning for off-road traversal
The challenge in the DARPA Learning Applied to Ground Robots (LAGR) project is to autonomously navigate a small robot using stereo vision as the main sensor. During this project, we demonstrated a complete autonomous system for off-road navigation in unstructured environments, using stereo vision as the main sensor. The system is very robust – we can typically give it a goal position several hu...
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Successful off-road autonomous navigation by an unmanned ground vehicle (UGV) requires reliable perception and representation of natural terrain. While perception algorithms are used to detect driving hazards, terrain mapping algorithms are used to represent the detected hazards in a world model a UGV can use to plan safe paths. There are two primary ways to detect driving hazards with percepti...
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ژورنال
عنوان ژورنال: Journal of Field Robotics
سال: 2008
ISSN: 1556-4959
DOI: 10.1002/rob.20271