Robust lane marking detection using boundary-based inverse perspective mapping

Zhenqiang Ying; Ge Li

ICASSP 2016accepted0 citations

Robust lane marking detection using boundary-based inverse perspective mapping

Abstract

Road detection, which brings a visual perceptive ability to vehicles, is essential to build driver assistance systems. To help detect lane markings in challenging scenarios, one-time calibration of inverse perspective mapping (IPM) parameters is employed to build a bird's eye view of the road image. We propose an automatic IPM method based on road boundaries called BIRD (Boundary-based IPM for Road Detection), avoiding common problems of fixed IPM. Furthermore, integrating top-down and bottom-up attention, an illumination-robust lane marking detection approach using BIRD is proposed.

BibTeX

@inproceedings{icassp2016_robustlanemarkin,
  title = {Robust lane marking detection using boundary-based inverse perspective mapping},
  author = {Zhenqiang Ying and Ge Li},
  booktitle = {ICASSP 2016},
  year = {2016}
}