Intelligent Road Mark Detection Using YOLOv8 for Autonomous Navigation

DOI

10.2991/978-94-6463-754-0_54How to use a DOI?

Keywords

Road Detection; YOLOv8; Mean average Precision; Future Extraction

Abstract

Accurate road mark In intelligent transportation systems, traffic monitoring, and autonomous driving, detection is essential. The application of YOLOv8 (You Only Look Once, Version 8), a cutting-edge object detection model, for the accurate recognition and categorization of road markings is the main goal of this research study. Improved anchorfree detection and YOLOv8’s sophisticated neural architecture allow for real-time performance with increased efficiency and accuracy. The model is trained on a diverse dataset containing various road markings, including lane lines, pedestrian crossings, arrows, and other traffic symbols. The proposed system leverages YOLOv8’s superior feature extraction capabilities to detect road marks under diverse environmental conditions such as varying lighting, occlusions, and complex road textures. Important parameters including mean Average Precision (mAP), precision, recall, and inference speed are used to evaluate performance and show how well the model works in real-time applications. According to the experimental results, YOLOv8 performs better than earlier iterations and other object detection frameworks, enabling quicker and more precise road marking recognition.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - P. Vasuki
AU  - C. Madhupriya
AU  - V. Shakthi Prasanth
AU  - D. Bhuvaneshwari
AU  - P. Jai Prakash
AU  - Sri Sowndharya
PY  - 2025
DA  - 2025/06/30
TI  - Intelligent Road Mark Detection Using YOLOv8 for Autonomous Navigation
BT  - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
PB  - Atlantis Press
SP  - 618
EP  - 628
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-754-0_54
DO  - 10.2991/978-94-6463-754-0_54
ID  - Vasuki2025
ER  -