DocumentCode
82284
Title
Integrated Lane and Vehicle Detection, Localization, and Tracking: A Synergistic Approach
Author
Sivaraman, Sayanan ; Trivedi, Mohan Manubhai
Author_Institution
Laboratory for Intelligent and Safe Automobiles University of California , San Diego, CA, USA
Volume
14
Issue
2
fYear
2013
fDate
Jun-13
Firstpage
906
Lastpage
917
Abstract
In this paper, we introduce a synergistic approach to integrated lane and vehicle tracking for driver assistance. The approach presented in this paper results in a final system that improves on the performance of both lane tracking and vehicle tracking modules. Further, the presented approach introduces a novel approach to localizing and tracking other vehicles on the road with respect to lane position, which provides information on higher contextual relevance that neither the lane tracker nor vehicle tracker can provide by itself. Improvements in lane tracking and vehicle tracking have been extensively quantified. Integrated system performance has been validated on real-world highway data. Without specific hardware and software optimizations, the fully implemented system runs at near-real-time speeds of 11 frames per second.
Keywords
Feature extraction; Image edge detection; Kalman filters; Roads; Safety; Vehicle detection; Vehicles; Active safety; computer vision; driver assistance; intelligent vehicles; lane departure; lane tracking; vehicle tracking;
fLanguage
English
Journal_Title
Intelligent Transportation Systems, IEEE Transactions on
Publisher
ieee
ISSN
1524-9050
Type
jour
DOI
10.1109/TITS.2013.2246835
Filename
6475185
Link To Document