Reverse Optical Flow for Self-Supervised Adaptive Autonomous Robot Navigation

被引：0
作者：
A. Lookingbill
J. Rogers
D. Lieb
J. Curry
S. Thrun
机构：
[1] Stanford University,Stanford Artificial Intelligence Laboratory
来源：
International Journal of Computer Vision | 2007年 / 74卷
关键词：
off-road navigation; terrain classification; optical flow; mobile robots; computer vision;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Autonomous mobile robot navigation, either off-road or on ill-structured roads, presents unique challenges for machine perception. A successful terrain or roadway classifier must be able to learn in a self-supervised manner and adapt to inter- and intra-run changes in the local environment.
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收藏
页码：287 / 302
页数：15
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