A new multi-camera approach for lane departure warning

Authors:
Amol Borkar;Monson Hayes;Mark T. Smith
Affiliations:
Georgia Institute of Technology, Atlanta, GA;Chung-Ang University, Seoul, Korea;Kungliga Tekniska Högskolan, Stockholm, Sweden
Venue:
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Year:
2011

Citing 3
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Abstract

In this paper, we present a new multi camera approach to Lane Departure Warning (LDW). Upon acquisition, the captured images are transformed to a bird's-eye view using a modified perspective removal transformation. Then, camera calibration is used to accurately determine the position of the two cameras relative to a reference point. Lane detection is performed on the front and rear camera images which are combined using data fusion. Finally, the distance between the vehicle and adjacent lane boundaries is determined allowing to perform LDW. The proposed system was tested on real world driving videos and shows good results when compared to ground truth.