A Robust Lane Detection Associated with Quaternion Hardy Filter
This work addresses lane marking detection for autonomous driving systems, but it appears incremental as it combines existing techniques like Jin's color gradient operator and Hough transform with a newer filter.
The paper tackled lane detection in complex environments by proposing a color-edge feature extraction method using the Quaternion Hardy filter, achieving accurate and robust results as demonstrated in experiments.
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.