DocumentCode :
2534683
Title :
Recognition and tracking of temporary lanes in motorway construction sites
Author :
Gumpp, Thomas ; Nienhuser, Dennis ; Liebig, Rebecca ; Zöllner, J. Marius
Author_Institution :
FZI (Forschungszentrum Inf.), Karlsruhe, Germany
fYear :
2009
fDate :
3-5 June 2009
Firstpage :
305
Lastpage :
310
Abstract :
We propose a system for detecting a construction site on motorways, and subsequently track its individual lanes using Kalman filters. Beacons and yellow lane markers are extracted from color images and provide indicators for a construction site situation. Yellow lane markers are used in this case for tracking the temporary lanes at road works. When leaving the construction site, again white road markers are extracted to track regular motorway lanes.
Keywords :
Kalman filters; image colour analysis; road building; traffic engineering computing; Kalman filters; color images; motorway construction sites; motorway lanes; road works; temporary lane recognition; temporary lane tracking; white road markers; yellow lane markers; Color; Computer vision; Data mining; Filters; Image converters; Image edge detection; Image segmentation; Intelligent systems; Production engineering; Roads;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2009 IEEE
Conference_Location :
Xi´an
ISSN :
1931-0587
Print_ISBN :
978-1-4244-3503-6
Electronic_ISBN :
1931-0587
Type :
conf
DOI :
10.1109/IVS.2009.5164295
Filename :
5164295
Link To Document :
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