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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.24778 |
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| _version_ | 1866911238903037952 |
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| author | Qamar, Ibrahim Mahmoud, Saber Megahed, Seif Khaled, Mohamed Hesham, Saleh Matar, Ahmed Gebril, Saif Mahmoud, Mervat |
| author_facet | Qamar, Ibrahim Mahmoud, Saber Megahed, Seif Khaled, Mohamed Hesham, Saleh Matar, Ahmed Gebril, Saif Mahmoud, Mervat |
| contents | Intelligent vehicles are one of the most important outcomes gained from the world tendency toward automation. Applications of IVs, whether in urban roads or robot tracks, do prioritize lane path detection. This paper proposes an FPGA-based Lane Detector Vehicle LDV architecture that relies on the Sobel algorithm for edge detection. Operating on 416 x 416 images and 150 MHz, the system can generate a valid output every 1.17 ms. The valid output consists of the number of present lanes, the current lane index, as well as its right and left boundaries. Additionally, the automated light and temperature control units in the proposed system enhance its adaptability to the surrounding environmental conditions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_24778 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | FPGA-based Lane Detection System incorporating Temperature and Light Control Units Qamar, Ibrahim Mahmoud, Saber Megahed, Seif Khaled, Mohamed Hesham, Saleh Matar, Ahmed Gebril, Saif Mahmoud, Mervat Computer Vision and Pattern Recognition Image and Video Processing Intelligent vehicles are one of the most important outcomes gained from the world tendency toward automation. Applications of IVs, whether in urban roads or robot tracks, do prioritize lane path detection. This paper proposes an FPGA-based Lane Detector Vehicle LDV architecture that relies on the Sobel algorithm for edge detection. Operating on 416 x 416 images and 150 MHz, the system can generate a valid output every 1.17 ms. The valid output consists of the number of present lanes, the current lane index, as well as its right and left boundaries. Additionally, the automated light and temperature control units in the proposed system enhance its adaptability to the surrounding environmental conditions. |
| title | FPGA-based Lane Detection System incorporating Temperature and Light Control Units |
| topic | Computer Vision and Pattern Recognition Image and Video Processing |
| url | https://arxiv.org/abs/2510.24778 |