Multi-Object Detection Method in Construction Machinery Swarm Operations Based on the Improved YOLOv4 Model

To handle the problem of low detection accuracy and missed detection caused by dense detection objects, overlapping, and occlusions in the scenario of complex construction machinery swarm operations, this paper proposes a multi-object detection method based on the improved YOLOv4 model. Firstly, the...

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Bibliographic Details
Main Authors: Liang Hou, Chunhua Chen, Shaojie Wang, Yongjun Wu, Xiu Chen
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/19/7294