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

Christoph Mertz
Proceedings of ITS America's 14th Annual Meeting and Exposition, April, 2004.


Download
  • Adobe portable document format (pdf) (603KB)
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

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.

Keywords
collision warning, probability of collision, Monte Carlo Method, behaviour modeling, trajectory prediction

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Associated Lab(s) / Group(s): NavLab
Associated Project(s): Transit Bus Collision Warning Systems

Text Reference
Christoph Mertz, "A 2D Collision Warning Framework based on a Monte Carlo Approach," Proceedings of ITS America's 14th Annual Meeting and Exposition, April, 2004.

BibTeX Reference
@inproceedings{Mertz_2004_4539,
   author = "Christoph Mertz",
   title = "A 2D Collision Warning Framework based on a Monte Carlo Approach",
   booktitle = "Proceedings of ITS America's 14th Annual Meeting and Exposition",
   month = "April",
   year = "2004",
}