A Robust Lane Detection Associated with Quaternion Hardy Filter

TL;DR

This paper introduces a robust lane detection method utilizing the Quaternion Hardy filter combined with color gradient and Hough transform, effectively handling noise and complex environments for accurate lane marking detection.

Contribution

The paper presents a novel lane detection algorithm based on Quaternion Hardy filtering, enhancing robustness against noise and environmental complexities.

Findings

High accuracy in complex environments

Robustness to various noise types

Effective lane marking detection

Abstract

In this article, a robust color-edge feature extraction method based on the Quaternion Hardy filter is proposed. The Quaternion Hardy filter is an emerging edge detection theory. It is along with the Poisson and conjugate Poisson smoothing kernels to handle various types of noise. Combining with the Quaternion Hardy filter, Jin's color gradient operator and Hough transform, the color-edge feature detection algorithm is proposed and applied to the lane marking detection. Experiments are presented to demonstrate the validity of the proposed algorithm. The results are accurate and robust with respect to the complex environment lane markings.