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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Veröffentlicht in:	Expert systems with applications Jg. 297; S. 129529
Hauptverfasser:	Li, Hulin, Ren, Qiliang, Li, Jun, Wei, Hanbing, Liu, Zheng, Fan, Linfang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.02.2026
Schlagworte:	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
Online-Zugang:	Volltext
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