A cooperative approach to vision-based vehicle detection

In this paper two different vision based systems for vehicle detection are described and their integration discussed. The first approach is based on the use of a specific model for vehicles and mostly relies on monocular vision. Conversely, the second system is based on the use of stereo vision and...

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Bibliographic Details
Main Authors: Bensrhair, A., Bertozzi, M., Broggi, A., Miche, P., Mousset, S., Toulminet, G.
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Image analysis
Layout
Machine vision
Optical noise
Stereo vision
System testing
Vehicle detection
Vehicle driving
Vehicles
Online Access:Request full text
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Description
Summary:In this paper two different vision based systems for vehicle detection are described and their integration discussed. The first approach is based on the use of a specific model for vehicles and mostly relies on monocular vision. Conversely, the second system is based on the use of stereo vision and allows to refine the coarse results obtained by the former. A preliminary integration of the two systems has been tested on the ARGO experimental vehicle and some remarks about reliability and robustness are also included.
DOI:10.1109/ITSC.2001.948657