An Object Detection and Localization Method Based on Improved YOLOv5 for the Teleoperated Robot

An Object Detection and Localization Method Based on Improved YOLOv5 for the Teleoperated Robot

In the traditional teleoperation system, the operator locates the object using the real-time scene information sent back from the robot terminal; however, the localization accuracy is poor and the execution efficiency is low. To address the issues, we propose an object detection and localization met...

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Bibliographic Details
Main Authors: Zhangyi Chen, Xiaoling Li, Long Wang, Yueyang Shi, Zhipeng Sun, Wei Sun
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
teleoperated robot
object detection
object localization
improved YOLOv5 network
distance estimation
Online Access:https://www.mdpi.com/2076-3417/12/22/11441

Internet

https://www.mdpi.com/2076-3417/12/22/11441

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