A biologically inspired separable learning vision model for real-time traffic object perception in Dark

Fast and accurate object perception in low-light traffic scenes has attracted increasing attention. However, due to severe illumination degradation and the lack of reliable visual cues, existing perception models and methods struggle to quickly adapt to and accurately predict in low-light environmen...

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Vydané v:	Expert systems with applications Ročník 297; s. 129529
Hlavní autori:	Li, Hulin, Ren, Qiliang, Li, Jun, Wei, Hanbing, Liu, Zheng, Fan, Linfang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.02.2026
Predmet:	Bio-inspired vision Deep learning Instance segmentation Low-light traffic Object detection Deep learning Instance segmentation Bio-inspired vision Low-light traffic Object detection
ISSN:	0957-4174
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