SETR-YOLOv5n: A Lightweight Low-Light Lane Curvature Detection Method Based on Fractional-Order Fusion Model

End-to-end automatic driving requires the identification of lane curvature. We proposed a lightweight detection method for the low-light lane curvature based on the Fractional-Order Fusion Model (FFM) to assure real-time performance and increase the reliability of automatic driving in low-light cond...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Yang Liu, Yongfu Wang, Yang Li, Qiansheng Li, Jian Wang
Format: Article
Language:English
Published: IEEE 2022-01-01
Subjects:
Lane curvature detection
automatic driving
lightweight
YOLOv5
fractional-order
image enhancement
Online Access:https://ieeexplore.ieee.org/document/9874851/

Internet

https://ieeexplore.ieee.org/document/9874851/

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