Vision-Based Lane Detection System for Navigation: A Comprehensive Review

Sangapu Sreenivasa Chakravarthi, Kanakala Sri Harika, Ayyapasetti Abhinav

2025

Abstract

Accurate lane detection becomes a critical requirement in the ADAS and the fully autonomous driving case. Therefore, this project documents a robust lane detection pipeline with the use of computer vision techniques such as image preprocessing, edge detection, and Hough Transform for extracting lane markings in different road conditions. These open-source libraries, including NumPy, OpenCV, and Matplotlib, constitute the system. The frames are extracted from videos in the first place, followed by preprocessing steps that include color conversion, Gaussian Blur, and Canny edge detection. A region of interest refines the detection, while the Hough Line Transform results in lane markers. Line extrapolation techniques smooth noisy detections across frames. Analyzing the pipeline under clear weather, shadows, and slight curvature of the road, it manages to detect lane boundaries reliably with little computational overhead. Hence, it is quite suitable for real-time use. Future work will extend the system toward more complex environments, such as sharp curves and intersections.

Paper Citation

in Harvard Style

Sreenivasa Chakravarthi S., Sri Harika K. and Abhinav A. (2025). Vision-Based Lane Detection System for Navigation: A Comprehensive Review. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 71-79. DOI: 10.5220/0013586800004664

in Bibtex Style

@conference{incoft25,
author={Sangapu Sreenivasa Chakravarthi and Kanakala Sri Harika and Ayyapasetti Abhinav},
title={Vision-Based Lane Detection System for Navigation: A Comprehensive Review},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT},
year={2025},
pages={71-79},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013586800004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT
TI - Vision-Based Lane Detection System for Navigation: A Comprehensive Review
SN - 978-989-758-763-4
AU - Sreenivasa Chakravarthi S.
AU - Sri Harika K.
AU - Abhinav A.
PY - 2025
SP - 71
EP - 79
DO - 10.5220/0013586800004664
PB - SciTePress