Robust Lane Detection and Tracking With Ransac and Kalman Filter
2009 (English)In: 2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, 2009, 3225-3228 p.Conference paper (Refereed)
In a previous paper, a simple approach to lane detection using the Hough transform and iterated matched filters was described . This paper extends this work by incorporating an inverse perspective mapping to create a bird's-eye view of the road, applying random sample consensus to help eliminate outliers due to noise and artifacts in the road, and a Kalman filter to help smooth the output of the lane tracker.
Place, publisher, year, edition, pages
2009. 3225-3228 p.
Lane detection, Hough transform, Kalman filter
IdentifiersURN: urn:nbn:se:kth:diva-63777DOI: 10.1109/ICIP.2009.5413980ISI: 000280464301263ScopusID: 2-s2.0-77951947151OAI: oai:DiVA.org:kth-63777DiVA: diva2:482500
16th IEEE International Conference on Image Processing. Cairo, EGYPT. NOV 07-10, 2009
QC 201202202012-01-242012-01-242012-02-20Bibliographically approved