Obstacle Detection and Terrain Classification for Autonomous Off-road Navigation (2004)
| Venue: | Autonomous Robots |
| Citations: | 61 - 2 self |
BibTeX
@ARTICLE{Manduchi04obstacledetection,
author = {R. Manduchi and A. Castano and A. Talukder and L. Matthies},
title = {Obstacle Detection and Terrain Classification for Autonomous Off-road Navigation},
journal = {Autonomous Robots},
year = {2004},
volume = {18},
pages = {81--102}
}
Years of Citing Articles
OpenURL
Abstract
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.







