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Abstract
This paper proposes the use of multiple low-cost visual sensors to obtain a surround view of the ego-vehicle for semantic understanding. A multi-perspective view will assist the analysis of naturalistic driving studies (NDS), by automating the task of data reduction of the observed sequences into events. A user-centric vision-based framework is presented using a vehicle detector and tracker in each separate perspective. Multi-perspective trajectories are estimated and analyzed to extract 14 different events, including potential dangerous behaviors such as overtakes and cut-ins. The system is tested on ten sequences of real-world data collected on U. S. highways. The results show the potential use of multiple low-cost visual sensors for semantic understanding around the ego-vehicle.
Originalsprog | Engelsk |
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Titel | 2016 IEEE Computer Vision and Pattern Recognition Workshops : Automatic Traffic Surveillance |
Forlag | IEEE |
Publikationsdato | 19 dec. 2016 |
Sider | 1584-1591 |
ISBN (Trykt) | 978-1-5090-1438-5 |
ISBN (Elektronisk) | 978-1-5090-1437-8 |
DOI | |
Status | Udgivet - 19 dec. 2016 |
Begivenhed | 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops: Automated Traffic Surveillance - Las Vegas, USA Varighed: 1 jul. 2016 → … |
Workshop
Workshop | 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops: Automated Traffic Surveillance |
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Land/Område | USA |
By | Las Vegas |
Periode | 01/07/2016 → … |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Towards Semantic Understanding of Surrounding Vehicular Maneuvers: A Panoramic Vision-Based Framework for Real-World Highway Studies'. Sammen danner de et unikt fingeraftryk.Projekter
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