Intelligent Transportation Systems: Detection and Classification of Vehicles

Artificial Intelligence, Robotics, and Vision Lab
University of Minnesota, Minneapolis, Minnesota

Back to Projects
 Intersection Monitoring
 Real-time Tracking
 Driver Fatigue Monitoring
 Monitoring crowded scenes

Publications:
Detection and Classification of Vehicles. (PDF)
S. Gupte, O. Masoud, N. P. Papanikolopoulos. Detection and Classification of Vehicles. IEEE Trans. on  Intelligent Transportation Systems, vol. 3,  no . 1, pp-37-47, Mar. 2002.
Vision-based Vehicle Classification. (PDF)
S. Gupte, O. Masoud, N. P. Papanikolopoulos. Vision-based Vehicle Classification. In Proc. 3rd Annual IEEE Conference on ITS, pp. 46-51, Dearborn, MI, Oct. 2000.
Detection and Classification of Vehicles.
S. Gupte, O. Masoud, N. P. Papanikolopoulos. Detection and Classification of Vehicles. in Proc. ITS America Tenth Annual Meeting, pp. 14, Boston, MA, May 2000.
 

People:
Faculty
Nikolaos Papanikolopoulos
Ravi Janardan 		Research Associate
Osama Masoud


This work is supported by grants from the National Science Foundation, Minnesota Department of Transportation, and the Intelligent Transportation Systems Institute.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.