FPGA-based Lane Detection System incorporating Temperature and Light Control Units

Ibrahim Qamar, Saber Mahmoud, Seif Megahed, Mohamed Khaled, Saleh Hesham +3 more
10/25/2025
cs.CVeess.IV

No confident code implementation found for this paper.

Abstract

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Lane Detection System for Driver Assistance in Vehicles

87% match2024

Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks

85% match2024

YOLinO++: Single-Shot Estimation of Generic Polylines for Mapless Automated Diving

82% match2024

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot

82% match2024

ENet-21: An Optimized light CNN Structure for Lane Detection

82% match2024

BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points

81% match2026

Cite this paper

@article{qamar2025fpgabased,
  title  = {FPGA-based Lane Detection System incorporating Temperature and Light Control Units},
  author = {Ibrahim Qamar and Saber Mahmoud and Seif Megahed and Mohamed Khaled and Saleh Hesham and Ahmed Matar and Saif Gebril and Mervat Mahmoud},
  year   = {2025},
  eprint = {2510.24778},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2510.24778v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2510.24778.svg)](https://codeofpaper.com/paper/2510.24778)

Discussion