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contributor authorXie, Yuchen
contributor authorDu, Danfeng
contributor authorLiu, Yang
date accessioned2026-08-20T21:22:39Z
date available2026-08-20T21:22:39Z
date copyright2025/07/24
date issued2025
identifier otherJCCEE5.CPENG-6164.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314360
description abstractAbstractVehicle detection tasks in autonomous driving scenarios face challenges such as illumination changes, motion blur, and target occlusion. This paper proposes a vehicle detector RepViT efficient-you only look once (RE-YOLO) for autonomous driving ...Practical ApplicationsThe ability of autonomous vehicles to detect other vehicles quickly and accurately is crucial for ensuring road safety and improving traffic efficiency. This research has significant real-world applications in the field of self-...
publisherAmerican Society of Civil Engineers
titleRE-YOLO: Vehicle Detector Based on Knowledge Distillation YOLOv8 for Autonomous Driving Scenarios
typeJournal Article
journal volume39
journal issue6
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-6164
journal fristpage04025084-1
journal lastpage04025084-16
page16
treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006
contenttypeFulltext


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