Moving Object Prediction for Off-road Autonomous Navigation (2003)
| Venue: | In Proceedings of the SPIE’s 17th Annual Intl. Symp. on Aerospace/Defense Sensing, Simulation, and Controls: Unmanned Ground Vehicle Technology V |
| Citations: | 4 - 1 self |
BibTeX
@INPROCEEDINGS{Madhavan03movingobject,
author = {R. Madhavan and C. Schlenoff},
title = {Moving Object Prediction for Off-road Autonomous Navigation},
booktitle = {In Proceedings of the SPIE’s 17th Annual Intl. Symp. on Aerospace/Defense Sensing, Simulation, and Controls: Unmanned Ground Vehicle Technology V},
year = {2003}
}
Years of Citing Articles
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
The realization of on- and o#-road autonomous navigation of Unmanned Ground Vehicles (UGVs) requires real-time motion planning in the presence of dynamic objects with unknown trajectories. To successfully plan paths and to navigate in an unstructured environment, the UGVs should have the di#cult and computationally intensive competency to predict the future locations of moving objects that could interfere with its path. This paper details the development of a combined probabilistic object classification and estimation theoretic framework to predict the future location of moving objects, along with an associated uncertainty measure. The development of a moving object testbed that facilitates the testing of di#erent representations and prediction algorithms in an implementation-independent platform is also outlined.
