TY - GEN
T1 - An Improved FAST Corner Detection Algorithm for Real-Time Lane Lines Detection on Road Surface
AU - Li, Xiang
AU - Wang, Peng
AU - Wang, Yanrong
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Detecting near lane lines presents challenges due to the influence of large noise blocks on the road surface. This study proposes an improved algorithm for realtime lane lines detection to counter this problem. The algorithm is carried out in three key steps: First, a minimum filter technique is performed to remove salt noise within the image. Subsequently, a modified Features from Accelerated Segment Test (FAST) corner detection algorithm is utilized to further filter and eliminate the block noise. Finally, Sobel edge detection algorithm is employed to achieve precise edge detection results for the lane lines. The proposed method has been deployed on a Field-Programmable Gate Array (FPGA), with comparative tests illustrating both its feasibility and effectiveness in practical application.
AB - Detecting near lane lines presents challenges due to the influence of large noise blocks on the road surface. This study proposes an improved algorithm for realtime lane lines detection to counter this problem. The algorithm is carried out in three key steps: First, a minimum filter technique is performed to remove salt noise within the image. Subsequently, a modified Features from Accelerated Segment Test (FAST) corner detection algorithm is utilized to further filter and eliminate the block noise. Finally, Sobel edge detection algorithm is employed to achieve precise edge detection results for the lane lines. The proposed method has been deployed on a Field-Programmable Gate Array (FPGA), with comparative tests illustrating both its feasibility and effectiveness in practical application.
KW - FAST corner detection
KW - FPGA
KW - Image processing
KW - Sobel edge detection
UR - https://www.scopus.com/pages/publications/85182746718
U2 - 10.1109/CCISP59915.2023.10355781
DO - 10.1109/CCISP59915.2023.10355781
M3 - Conference contribution
AN - SCOPUS:85182746718
T3 - Proceedings - 2023 8th International Conference on Communication, Image and Signal Processing, CCISP 2023
SP - 276
EP - 280
BT - Proceedings - 2023 8th International Conference on Communication, Image and Signal Processing, CCISP 2023
A2 - Zhang, Jing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Communication, Image and Signal Processing, CCISP 2023
Y2 - 17 November 2023 through 19 November 2023
ER -