DocumentCode :
3410761
Title :
A system for vehicle classification from range imagery
Author :
Peng, Shiquan ; Harlow, Charles A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
fYear :
1996
fDate :
31 Mar-2 Apr 1996
Firstpage :
327
Lastpage :
331
Abstract :
In this project we consider automated vehicle location and classification systems. Current systems which utilize loop detectors or video cameras have deficiencies. Video based systems are sensitive to environmental conditions and do not perform well in vehicle classification. The new generation of range or distance sensors that are being developed offer the promise of sensors which are not sensitive to lighting conditions and provide information which should give better vehicle detection and classification percentages than current systems. The focus of this project is to develop an automated vehicle location and classification system based upon imagery obtained from range sensors. Image analysis operators and classification methods are developed for vehicle classification. Preliminary results indicate that accurate vehicle classification can be obtained
Keywords :
automated highways; object recognition; optical sensors; road traffic; road vehicles; traffic control; automated highway; automated vehicle location; image analysis; range imagery; range sensors; road traffic control; vehicle classification; Costs; Image processing; Infrared detectors; Laser radar; Machine vision; Radar detection; Road transportation; Sensor systems; Surveillance; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Theory, 1996., Proceedings of the Twenty-Eighth Southeastern Symposium on
Conference_Location :
Baton Rouge, LA
ISSN :
0094-2898
Print_ISBN :
0-8186-7352-4
Type :
conf
DOI :
10.1109/SSST.1996.493523
Filename :
493523
Link To Document :
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