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Monte Carlo Road Safety Reasoning
A.E. Broadhurst, S. Baker, and T. Kanade
IEEE Intelligent Vehicle Symposium (IV2005), IEEE, June, 2005, pp. 319 - 324.

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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.

Sponsor: DENSO CORPORATION

Associated center: VASC
Associated lab/group: Vision for Safe Driving
Associated project: Prediction & Planning

Number of pages: 6

A.E. Broadhurst, S. Baker, and T. Kanade, "Monte Carlo Road Safety Reasoning," IEEE Intelligent Vehicle Symposium (IV2005), IEEE, June, 2005, pp. 319 - 324.

@inproceedings{Broadhurst_2005_5004,
   author = "Adrian E Broadhurst and Simon Baker and Takeo Kanade",
   title = "Monte Carlo Road Safety Reasoning",
   booktitle = "IEEE Intelligent Vehicle Symposium (IV2005)",
   month = "June",
   year = "2005",
   pages = "319 - 324",
   publisher = "IEEE"
}