Robotics & Machine Learning Daily News2024,Issue(Jul.24) :69-70.

Researchers at China University of Mining and Technology Release New Study Findi ngs on Robotics (Research on mine underground inspection robot target detection algorithm based on pyramid structure and attention mechanism coupling)

Robotics & Machine Learning Daily News2024,Issue(Jul.24) :69-70.

Researchers at China University of Mining and Technology Release New Study Findi ngs on Robotics (Research on mine underground inspection robot target detection algorithm based on pyramid structure and attention mechanism coupling)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in robotics. Accordin g to news reporting originating from Xuzhou,People’s Republic of China, by News Rx correspondents, research stated, “In recent years, coal mine robotshave beco me a research hotspot in the field of modern coal machine equipment, and the mai n coal flowtransportation system of most coal mines has basically realized cont inuity, mechanization and automation,which also puts forward higher requirement s for safety monitoring and inspection efficiency in the maintransportation roa dway, and accurate target detection is a necessary guarantee for intelligent saf etymonitoring in coal mines, but the existing object detection algorithm is app lied to complex and harsh coalmine underground roadway environment, and there i s a problem of low target detection accuracy.”

Key words

China University of Mining and Technolog y/Xuzhou/People’sRepublic of China/Asia/Algorithms/Cybersecurity/Emerging Technologies/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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