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A 2D Collision Warning Framework based on a Monte Carlo Approach

Christoph Mertz
Conference Paper, Carnegie Mellon University, Proceedings of ITS America's 14th Annual Meeting and Exposition, April, 2004

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Abstract

This paper describes a general method to generate warnings for the driver of a vehicle. The method takes into account the current measured state of the own vehicle and observed objects, the uncertainties of these measurements, models of driver, vehicle, and object behavior, and information about the environment, especially how it influences the driver and the observed object. This method is designed to work in two dimensions. It is being implemented into a side collision warning system for transit buses.

BibTeX Reference
@conference{Mertz-2004-8887,
title = {A 2D Collision Warning Framework based on a Monte Carlo Approach},
author = {Christoph Mertz},
booktitle = {Proceedings of ITS America's 14th Annual Meeting and Exposition},
keyword = {collision warning, probability of collision, Monte Carlo Method, behaviour modeling, trajectory prediction},
school = {Robotics Institute , Carnegie Mellon University},
month = {April},
year = {2004},
address = {Pittsburgh, PA},
}
2017-09-13T10:44:06+00:00