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Analysis of Road Lane Detection Using Computer Vision

Aditi Pandey, Radhey Shyam

Abstract


Today’s technological advancement brings an opportunity to automate all the essential processes. Driving is one of the challenging tasks. The rapid growth of image processing technologies allows us to achieve an automatic driving system without human intervention. Numerous researchers are working on the development of algorithms for the automation of road lane detection during the self-driving car. This study presents an algorithm which can detect road lanes and the upcoming direction along with curvature using OpenCV. In addition to that, object detection is also performed using cascade classifier. This contribution can be a stage in development for autonomous driving systems. Furthermore, several image processing operations are performed, such as camera calibration, perspective transformation, image thresholding, edge detection for lane, etc. The proposed algorithm has been tested with several video images and found to be satisfactorily good in detecting the road lanes, directions, and objects near the vehicle.


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References


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