Lane Detection Algorithm Research Based on Revised Perspective Transform

摘要

For a better and more effective way to detect lane and filter noise on road, this paper introduces a way on how to transform perspective when dealing with lane detection. An improved algorithm will change perspective from 3D to 2D and employ a modified Perspective Transform so that we can get a better affection of lane detection. And then, expected values are used to analyze key pixels to acquire accurate lane image point instead of using curve fitting commonly used in lane detection. Both of the creative measures mentioned above will help to acquire precise parameters and lane curves.