Title :
Detecting lane markers in complex urban environments
Author :
Borkar, Amol ; Hayes, Monson ; Smith, Mark T.
Author_Institution :
Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
In this paper, we present a new methodology for detecting lane markers that is able to withstand many challenging situations like scattered shadows, illumination changes, and presence of neighboring vehicles to name a few. At first, the input image undergoes a perspective removal followed by a color space conversion. Then, the core elements consisting of template matching, lane region merging, and elliptical projections are explained. Finally, the developed system showed good results when tested on 15 minutes of real-world driving videos containing variations in illumination, traffic, and road surface conditions.
Keywords :
driver information systems; image colour analysis; image matching; color space conversion; core elements; elliptical projections; illumination change; lane marker detection; lane region merging; neighboring vehicles; perspective removal; scattered shadows; template matching; Feature extraction; Hysteresis; Image color analysis; Pixel; Roads; Vehicles; Videos; Elliptical projections; Lane detection; Lane region Merging; Template matching;
Conference_Titel :
Mobile Adhoc and Sensor Systems (MASS), 2010 IEEE 7th International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-7488-2
DOI :
10.1109/MASS.2010.5663812
