Documents
Poster
Poster
Robust Lane Marking Detection using Boundary-Based Inverse Perspective Mapping
- Citation Author(s):
- Submitted by:
- Zhenqiang Ying
- Last updated:
- 23 March 2016 - 11:48am
- Document Type:
- Poster
- Document Year:
- 2016
- Event:
- Presenters:
- Zhenqiang YING
- Paper Code:
- IVMSP-P13.7
- Categories:
- Log in to post comments
Comments
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) param-
eters 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. Fur-
thermore, integrating top-down and bottom-up attention, an
illumination-robust lane marking detection approach using
BIRD is proposed.
Open Source
Source code is available at https://github.com/baidut/OpenVehicleVision