LEHA: A novel lightweight efficient and highly accurate lane departure warning system
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16522-3.pdf
Reference47 articles.
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3. Aziz MVG, Prihatmanto AS, Hindersah H (2017) Implementation of lane detection algorithm for self-driving car on toll road cipularang using python language. In: Proc. IEEE ICEVT, p 144–148
4. Bhope P, Samant P (2018) Use of image processing in lane departure warning system. In: Proc. IEEE I2CT, p 1–4
5. Bilal H, Yin B, Khan J et al (2019) Real-time lane detection and tracking for advanced driver assistance systems. In: Proc. IEEE CCC, p 6772–6777
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