Efficient and real-time lane detection using CUDA-based implementation
Lane detection is an essential component of autonomous driving systems, enabling vehicles to accurately identify and follow road markings. In this paper, we look at an lane detection approach that integrates median filtering and the Hough transform. Median filtering is an essential pre-processing st...
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Format: | Article |
Language: | English |
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EDP Sciences
2024-01-01
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Series: | ITM Web of Conferences |
Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01007.pdf |
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author | El Boussaki Hoda Latif Rachid Saddik Amine |
author_facet | El Boussaki Hoda Latif Rachid Saddik Amine |
author_sort | El Boussaki Hoda |
collection | DOAJ |
description | Lane detection is an essential component of autonomous driving systems, enabling vehicles to accurately identify and follow road markings. In this paper, we look at an lane detection approach that integrates median filtering and the Hough transform. Median filtering is an essential pre-processing step for reducing noise and improving lane detection accuracy. However, given its high computational demands, optimization of this process is essential for real-time applications. To this end, we used CUDA for acceleration, taking advantage of its parallel computing capabilities to improve performance. We implemented and tested this optimised lane detection algorithm on the NVIDIA Jetson Nano and on a desktop, providing a comparative analysis of improvements in efficiency and speed. This approach highlights the potential of real-time path detection in embedded and high-performance computing environments. |
format | Article |
id | doaj-art-83fc298ac73541c2bbf54b1c2a3c79ee |
institution | Kabale University |
issn | 2271-2097 |
language | English |
publishDate | 2024-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | ITM Web of Conferences |
spelling | doaj-art-83fc298ac73541c2bbf54b1c2a3c79ee2025-01-08T10:58:54ZengEDP SciencesITM Web of Conferences2271-20972024-01-01690100710.1051/itmconf/20246901007itmconf_maih2024_01007Efficient and real-time lane detection using CUDA-based implementationEl Boussaki Hoda0Latif Rachid1Saddik Amine2Laboratory of Systems Engineering and Information Technology LISTI, ENSALaboratory of Systems Engineering and Information Technology LISTI, ENSALaboratory of Systems Engineering and Information Technology LISTI, ENSALane detection is an essential component of autonomous driving systems, enabling vehicles to accurately identify and follow road markings. In this paper, we look at an lane detection approach that integrates median filtering and the Hough transform. Median filtering is an essential pre-processing step for reducing noise and improving lane detection accuracy. However, given its high computational demands, optimization of this process is essential for real-time applications. To this end, we used CUDA for acceleration, taking advantage of its parallel computing capabilities to improve performance. We implemented and tested this optimised lane detection algorithm on the NVIDIA Jetson Nano and on a desktop, providing a comparative analysis of improvements in efficiency and speed. This approach highlights the potential of real-time path detection in embedded and high-performance computing environments.https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01007.pdf |
spellingShingle | El Boussaki Hoda Latif Rachid Saddik Amine Efficient and real-time lane detection using CUDA-based implementation ITM Web of Conferences |
title | Efficient and real-time lane detection using CUDA-based implementation |
title_full | Efficient and real-time lane detection using CUDA-based implementation |
title_fullStr | Efficient and real-time lane detection using CUDA-based implementation |
title_full_unstemmed | Efficient and real-time lane detection using CUDA-based implementation |
title_short | Efficient and real-time lane detection using CUDA-based implementation |
title_sort | efficient and real time lane detection using cuda based implementation |
url | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01007.pdf |
work_keys_str_mv | AT elboussakihoda efficientandrealtimelanedetectionusingcudabasedimplementation AT latifrachid efficientandrealtimelanedetectionusingcudabasedimplementation AT saddikamine efficientandrealtimelanedetectionusingcudabasedimplementation |