A Precise Lane Detection Algorithm Based on Top View Image Transformation and Least-Square Approaches

الملخص EN

The next promising key issue of the automobile development is a self-driving technique.

One of the challenges for intelligent self-driving includes a lane-detecting and lane-keeping capability for advanced driver assistance systems.

This paper introduces an efficient and lane detection method designed based on top view image transformation that converts an image from a front view to a top view space.

After the top view image transformation, a Hough transformation technique is integrated by using a parabolic model of a curved lane in order to estimate a parametric model of the lane in the top view space.

The parameters of the parabolic model are estimated by utilizing a least-square approach.

The experimental results show that the newly proposed lane detection method with the top view transformation is very effective in estimating a sharp and curved lane leading to a precise self-driving capability.