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AN IMPROVED SMART CAR SOLUTION BASED ON HISTOGRAM AND REGION OF INTEREST (ROI)
CHEN Zeyou * #,LI Wensheng
Computer Science School, Beijing University of Posts and Telecommunications
*Correspondence author
#Submitted by
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Funding: none
Opened online:23 September 2011
Accepted by: none
Citation: CHEN Zeyou,LI Wensheng.AN IMPROVED SMART CAR SOLUTION BASED ON HISTOGRAM AND REGION OF INTEREST (ROI)[OL]. [23 September 2011] http://en.paper.edu.cn/en_releasepaper/content/4443396
 
 
Based on ordinary Hough transform, we propose an improved method by using Histogram and setting Region of interest (ROI), to do the quick Hough transform for tracking lane line. The dynamic adaptive threshold method can be suitable with different lighting conditions and quickly remove most of the information not relative to lane line. Setting ROI can let the program only care about the specific region which can provide useful information and decrease the processing data. And then briefly describe the innovative strategy about how to track the straight and curve line with the logic of monocular vision and the switch logic between them. The experiment shows, the improved solution greatly raises the efficiency.
Keywords:Region of Interest(ROI); adaptive gray threshold; tracking logic; monocular vision
 
 
 

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