A REVIEW OF HOUGH TRANSFORMATION BASED LANE DETECTION TECHNIQUES

Manpreet Kaur, Jagdeep Singh

Abstract


This paper presents different lane detection techniques. Lane recognition is now common in a real-time vehicular ad-hoc system. Lane detection is normally helpful to localize road boundaries, determine undesired lane variations, and to enable approximation of the upcoming geometry of the road. There are different types of methods that are used for detecting lines, curves and ellipses i.e. Hough transform. The left-side and right-side lane items are then discovered nearby the intersections of the right lines and the existing scan line. The strategy developed up to now work effectively and giving accomplishment in the event when noise isn't within the images.

Keywords


Binarization; lane model, spatiotemporal, Hough transform

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DOI: https://doi.org/10.26483/ijarcs.v8i8.4843

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