Fusing Radar and Vision for Detecting, Classifying and Avoiding Roadway Obstacles
Conference Paper, Proceedings of IEEE Symposium on Intelligent Vehicles (IV '96), pp. 333 - 338, September, 1996
Abstract
This paper describes an integrated MMW radar and vision sensor system for autonomous on-road navigation. The radar sensor has a range of approximately 200 metres and uses a linear array of receivers and wavefront reconstruction techniques to compute range and bearing of objects within the field of view. It is integrated with a vision based lane keeping system to accurately detect and classify obstacles with respect to the danger they pose to the vehicle and to execute required avoidance maneuvres.
BibTeX
@conference{Langer-1996-14204,author = {Dirk Langer and Todd Jochem},
title = {Fusing Radar and Vision for Detecting, Classifying and Avoiding Roadway Obstacles},
booktitle = {Proceedings of IEEE Symposium on Intelligent Vehicles (IV '96)},
year = {1996},
month = {September},
pages = {333 - 338},
}
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.