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

Much progress has been made toward understanding the autonomous on-road navigation problem using vision based methods. A next step in this evolution is the intelligent detection and traversal of road junctions and intersections. The techniques presented in this paper are based on a data driven, active philosophy of vision based intersection navigation. Traversal is accomplished by imaging relevant parts of the intersection using a combination of active camera control techniques and a virtual active vision tool called a virtual camera. By monitoring the response of the underlying lane keeping system to the created images, intersections and road junctions can be detected and traversed.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): NavLab

Text Reference

Todd Jochem, Dean Pomerleau, and Chuck Thorpe, "Vision Based Intersection Navigation," Proceedings of the 1996 IEEE Symposium on Intelligent Vehicles, September, 1996, pp. 391 - 396.

BibTeX Reference

@inproceedings{Jochem_1996_605,
   author = "Todd Jochem and Dean Pomerleau and Chuck Thorpe",
   title = "Vision Based Intersection Navigation",
   booktitle = "Proceedings of the 1996 IEEE Symposium on Intelligent Vehicles",
   pages = "391 - 396",
   month = "September",
   year = "1996",
}

The Robotics Institute

Menu