Abstrait

Survey on Lane Detection Using Hough Transform Technique

Sarika Panwar, Shraddha Raut

In many highway traffic accidents, the main cause is straight line detection. So as to avoid accidents straight line detection is an important component of intelligent transportation systems. This paper describes different lane marking algorithms and analyses advantages and disadvantages of lane detection algorithms. This paper illustrates the survey of B-Snake algorithm, RANSAC algorithm for urban streets, unsupervised and adaptive classifier technique, robust and lane detection algorithm in challenging scenarios .The most effective technique for straight line detection with reduced logic area and memory utilization is hough transform. The comparative study shows that hough transform based lane detection algorithm is very reliable.