A modified YOLOv4 detection method for a vision-based underwater garbage cleaning robot

To tackle the problem of aquatic environment pollution, a vision-based autonomous underwater garbage cleaning robot has been developed in our laboratory. We propose a garbage detection method based on a modified YOLOv4, allowing high-speed and high-precision object detection. Specifically, the YOLOv...

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Vydáno v:	Frontiers of information technology & electronic engineering Ročník 23; číslo 8; s. 1217 - 1228
Hlavní autoři:	Tian, Manjun, Li, Xiali, Kong, Shihan, Wu, Licheng, Yu, Junzhi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Hangzhou Zhejiang University Press 01.08.2022 Springer Nature B.V School of Information Engineering,Minzu University of China,Beijing 100081,China%School of Information Engineering,Minzu University of China,Beijing 100081,China%Department of Advanced Manufacturing and Robotics,College of Engineering,Peking University,Beijing 100871,China%Department of Advanced Manufacturing and Robotics,College of Engineering,Peking University,Beijing 100871,China First Research Institute of the Ministry of Public Security of PRC,Beijing 100048,China State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China
Témata:	Algorithms Aquatic environment Cleaning Communications Engineering Computer Hardware Computer Science Computer Systems Organization and Communication Networks Computer vision Electrical Engineering Electronics and Microelectronics Environment pollution Garbage Instrumentation Networks Neural networks Object recognition Research Article Robots Underwater TP242 Aquatic environment Modified YOLOv4 Object detection 目标检测改进YOLOv4 垃圾清理机器人水环境 Garbage cleaning robot
ISSN:	2095-9184, 2095-9230
On-line přístup:	Získat plný text
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