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Lane detection for autonomous driving: A comprehensive review | Synapse
March 3, 2026
Lane detection for autonomous driving: A comprehensive review
HK
Hongrui Kou
Jilin University
ZW
Ziyu Wang
ZL
Zhiyong Lv
State Grid Corporation of China (China)
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Key Points
Lane detection algorithms improve the efficiency of autonomous driving systems, enabling safer navigation on roads.
Key advancements in computer vision show that accuracy rates in lane detection can exceed 95% in optimal conditions.
This review evaluates various algorithms and their effectiveness, addressing challenges in varying weather and lighting.
Improved lane detection is crucial for the future of autonomous vehicles, indicating a need for robust, real-world testing.
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Kou et al. (Sat,) studied this question.
synapsesocial.com/papers/69a75ec4c6e9836116a29aaa
https://doi.org/https://doi.org/10.1016/j.neucom.2026.132864