Obstacle Detection and Terrain Classification for Autonomous Off-Road Navigation

被引:2
|
作者
R. Manduchi
A. Castano
A. Talukder
L. Matthies
机构
[1] University of California at Santa Cruz,Jet Propulsion Laboratory
[2] California Institute of Technology,undefined
来源
Autonomous Robots | 2005年 / 18卷
关键词
obstacle detection; terrain classification; color classification; ladar classification; autonomous navigation;
D O I
暂无
中图分类号
学科分类号
摘要
Autonomous navigation in cross-country environments presents many new challenges with respect to more traditional, urban environments. The lack of highly structured components in the scene complicates the design of even basic functionalities such as obstacle detection. In addition to the geometric description of the scene, terrain typing is also an important component of the perceptual system. Recognizing the different classes of terrain and obstacles enables the path planner to choose the most efficient route toward the desired goal.
引用
收藏
页码:81 / 102
页数:21
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