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.
A cooperative approach to vision-based vehicle detection
2001-01-01
882587 byte
Conference paper
Electronic Resource
English
A Cooperative Approach to Vision-Based Vehicle Detection
British Library Conference Proceedings | 2001
|Cooperative unmanned aerial vehicle with panoramic vision
European Patent Office | 2024
|Stereo vision based vehicle detection
Tema Archive | 2010
|Stereo vision-based vehicle detection
IEEE | 2000
|