TRIS Online Record

Printable View

Title	DETECTION OF DISCONTINUITIES OF ROAD CURVATURE CHANGE BY GLR
Accession No	00786705
Authors	Behringer, Reinhold
Conference Title	Intelligent Vehicles '95 Symposium (1995 : Detroit, Mich.). Proceedings of the Intelligent Vehicles '95 Symposium
Corp. Authors / Publisher	Universitat der Bundeswehr Munchen; Ohio State University. Dept. of Electrical Engineering; Ford Motor Company ; Johns Hopkins University, Laurel ; University of Washington, Seattle ; Texas A&M University, College Station ; Universite Paris-Sud. Institut d'electronique fondamentale; Ruhr-Universitat Bochum. Institut fur Neuroinformatik; GERMANY. BUNDESSTELLE FSUR FLUGUNFALL-UNTERSUCHUNG; Bayerische Motoren Werke; University of Michigan. ITS Research Center of Excellence; Great Lakes Center for Truck and Transit Research ; General Motors Research Laboratories ; Daimler-Benz A.G. ; Prometheus (Program); Carnegie Mellon University ; Partners for Advanced Transit and Highways (PATH) ; Centre d'automatique de Lille; California Department of Transportation
Publication Date	19950000
Description	p. 78-83
Languages	English
Abstract	This paper describes a new approach for spatial segmentation of a curved road for visual road recognition in far look-ahead distance implemented in the autonomous road vehicle VaMP. By applying the Generalized Likelihood Ratio (GLR) approach, a segmentation of the road into segments with constant curvature change parameter can be obtained.
Supplemental Information	Publication Date: 1995 Published By: IEEE Service Center, Piscataway NJ
TRT Terms	Advanced vehicle control systems ; Computer vision
Availability	Available from UC Berkeley Transportation Library through interlibrary loan or document delivery Order Document: http://library.its.berkeley.edu
Document Source	UC Berkeley Transportation Library Source Data: PATH Record Number 9337
TRIS Files	PATH
Database	TRIS Online

TRIS is a bibliographic database funded by sponsors of the Transportation Research Board (TRB), primarily the state departments of transportation and selected federal transportation agencies. TRIS Online is hosted by the National Transportation Library under a cooperative agreement between the Bureau of Transportation Statistics and TRB.