Title :
A video-based lane keeping assistant
Author :
Risack, R. ; Möhler, N. ; Enkelmann, W.
Author_Institution :
Fraunhofer-Inst. for Transp. & Infrastructure Syst., Dresden, Germany
Abstract :
We propose a lane keeping assistance system which warns the driver of unintended lane departures. Based on an existing robust video-based lane detection algorithm we compare different methods to detect lane departure. A number of assumptions on driver behaviour in certain situations have been integrated to distinguish between intended and unintended lane departures. We integrated our lane keeping assistant in an experimental car and performed systematic experiments in real traffic situations
Keywords :
automated highways; automobiles; driver information systems; image sequences; position control; safety; driver behaviour; intended lane departures; robust video-based lane detection algorithm; unintended lane departures; video-based lane keeping assistant; Cameras; Electroencephalography; Fatigue; Image sequences; Motion measurement; Roads; Robustness; Transportation; Vehicle safety; Wheels;
Conference_Titel :
Intelligent Vehicles Symposium, 2000. IV 2000. Proceedings of the IEEE
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-6363-9
DOI :
10.1109/IVS.2000.898369
