Adaptive Entropy Multi-modal Fusion for Nighttime Lane Segmentation

Lane segmentation at night is a challenging problem in autonomous driving perception, which is beneficial to improve the robustness of the application. Existing methods has shown great performance in the benchmark dataset, however, they do not consider the bad lighting scenes in practical applicatio...

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Veröffentlicht in:	IEEE transactions on intelligent vehicles 2024, p.1-13
Hauptverfasser:	Zhang, Xinyu, Yin, Xiangchen, Gao, Xin, Qiu, Tianheng, Wang, Li, Yu, Guizhen, Wang, Yunpeng, Zhang, Guoying, Li, Jun
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Adaptive Entropy Multi-modal Fusion Cameras Entropy Feature extraction Fuses Lane Feature Enhance Lane Segmentation Laser radar Lighting Multi-modal Nighttime Segmentation
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