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LS-YOLO: A Lightweight, Real-Time YOLO-Based Target Detection Algorithm for Autonomous Driving Under Adverse Environmental Conditions

Autonomous driving faces significant object detection challenges under complex backgrounds characterized by dense scenes, object occlusion, long-range targets, and extreme weather conditions. These challenges are further exacerbated in adverse weather such as rain, snow, and fog, leading to decrease...

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Xehetasun bibliografikoak
Egile Nagusiak: Cheng Ju, Yuxin Chang, Yuansha Xie, Dina Li
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: IEEE 2025-01-01
Saila:IEEE Access
Gaiak:
Sarrera elektronikoa:https://ieeexplore.ieee.org/document/11072153/
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