An Improved YOLOv5 Algorithm for Vulnerable Road User Detection

An Improved YOLOv5 Algorithm for Vulnerable Road User Detection

The vulnerable road users (VRUs), being small and exhibiting random movements, increase the difficulty of object detection of the autonomous emergency braking system for vulnerable road users AEBS-VRUs, with their behaviors highly random. To overcome existing problems of AEBS-VRU object detection, a...

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Bibliographic Details
Main Authors: Wei Yang, Xiaolin Tang, Kongming Jiang, Yang Fu, Xinling Zhang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Sensors
Subjects:
improved YOLOv5 algorithm
overlapping targets
small targets
detection accuracy
AEBS-VRU system
Online Access:https://www.mdpi.com/1424-8220/23/18/7761

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https://www.mdpi.com/1424-8220/23/18/7761

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