Apartitioned Approach to Real Time Lane Detection at Different Weather Conditions

Wei Wei Zhang; Xiao Lin Song

doi:10.4028/www.scientific.net/AMR.671-674.2870

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 671-674Apartitioned Approach to Real Time Lane Detection...

Apartitioned Approach to Real Time Lane Detection at Different Weather Conditions

Abstract:

A partitioned approach to real time lane detection is proposed based on the ARM core microprocessor S3C6410. With the help of the dedicated camera interface in S3C6410, the original image can be converted to RGB format and got window-cut in hardware, leaving the target region of interest (ROI). The pixels in ROI are partitioned into two parts to deal with some hostile weather conditions when lane markings in far field are hard to be distinguished from the homogenous road surface. Hough transform is applied into the top part to utilize lane continuum, and the pixel in bottom part is detected in some fixed search bars to reduce computation complexity. Experiments show that the detection algorithm possesses real time performanceand good robustness at different weather conditions.

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Periodical:

Advanced Materials Research (Volumes 671-674)

Pages:

2870-2874

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.671-674.2870

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Online since:

March 2013

Authors:

Wei Wei Zhang, Xiao Lin Song

Keywords:

ARM-Based Platform, Database Update, Hough Transform (HT), Lane Detection, Lane Tracking

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References

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