Vision Based Intersection Navigation - Robotics Institute Carnegie Mellon University

Vision Based Intersection Navigation

Todd Jochem, Dean Pomerleau, and Chuck Thorpe
Conference Paper, Proceedings of IEEE Symposium on Intelligent Vehicles (IV '96), pp. 391 - 396, September, 1996

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.

BibTeX

@conference{Jochem-1996-14203,
author = {Todd Jochem and Dean Pomerleau and Chuck Thorpe},
title = {Vision Based Intersection Navigation},
booktitle = {Proceedings of IEEE Symposium on Intelligent Vehicles (IV '96)},
year = {1996},
month = {September},
pages = {391 - 396},
}