Monte Carlo Road Safety Reasoning
Conference Paper, Proceedings of IEEE Intelligent Vehicles Symposium (IV '05), pp. 319 - 324, June, 2005
Abstract
This paper presents a framework for reasoning about the future motion of multiple objects in a road scene. Unlike previous approaches, we do not look for known dangerous configurations of objects, but rather we reason about the future paths of all objects in the scene, and assess their danger. Monte Carlo path planning is used to generate a probability distribution for the possible future motion of every car in the scene. This framework can be used to either control the car, or to display warnings for the driver.
BibTeX
@conference{Broadhurst-2005-9186,author = {Adrian E. Broadhurst and Simon Baker and Takeo Kanade},
title = {Monte Carlo Road Safety Reasoning},
booktitle = {Proceedings of IEEE Intelligent Vehicles Symposium (IV '05)},
year = {2005},
month = {June},
pages = {319 - 324},
publisher = {IEEE},
keywords = {Artificial Intelligence, Path planning, Monte Carlo, Road, Safety},
}
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