Vision Based Intersection Navigation

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


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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",
}