The Robotics Institute

Carnegie Mellon Robotics Institute

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

Providing drivers with comprehensive assistance systems has long been a goal for the automotive industry. The challenge is on many fronts, from building sensors, analyzing sensor data, automated understanding of traffic situations and appropriate interaction with the driver. These issues are discussed with the example of a collision warning system for transit buses.

Keywords

collision warning, sensor processing, perception

Notes

Sponsor: FTA

Grant ID: 250969449000

Associated Center(s) / Consortia: Vision and Autonomous Systems Center and Quality of Life Technology Center

Associated Lab(s) / Group(s): NavLab and Human-Robot Interaction Group

Associated Project(s): Transit Bus Collision Warning Systems

Number of pages: 6

Text Reference

Christoph Mertz, David Duggins, Jay Gowdy, John Kozar, Robert MacLachlan, Aaron Steinfeld, Arne Suppe, Chuck Thorpe, and Chieh-Chih Wang, "Collision Warning and Sensor Data Processing in Urban Areas," Proceedings of the 5th international conference on ITS telecommunications, June, 2005, pp. 73-78.

BibTeX Reference

@inproceedings{Mertz_2005_5091,
   author = "Christoph Mertz and David Duggins and Jay Gowdy and John Kozar and Robert MacLachlan and Aaron Steinfeld and Arne Suppe and Chuck Thorpe and Chieh-Chih Wang",
   title = "Collision Warning and Sensor Data Processing in Urban Areas",
   booktitle = "Proceedings of the 5th international conference on ITS telecommunications",
   pages = "73-78",
   month = "June",
   year = "2005",
}

The Robotics Institute

Menu