Robotics & Machine Learning Daily News2024,Issue(Oct.16) :25-26.

Studies from Jiangsu University Update Current Data on Robotics (Underwater Robo t Target Detection Algorithm Based On Yolov8)

Robotics & Machine Learning Daily News2024,Issue(Oct.16) :25-26.

Studies from Jiangsu University Update Current Data on Robotics (Underwater Robo t Target Detection Algorithm Based On Yolov8)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Robotics. Acc ording to news reporting originating in Zhenjiang, People’s Republic of China, b y NewsRx journalists, research stated, “Although the ocean is rich in energy and covers a vast portion of the planet, the present results of underwater target i dentification are not sufficient because of the complexity of the underwater env ironment. An enhanced technique based on YOLOv8 is proposed to solve the problem s of low identification accuracy and low picture quality in the target detection of current underwater robots.” Funders for this research include Jiangsu Province Industrial Prospect and Key C ore Technology Project, Postgraduate Research and Practice Innovation Program of Jiangsu Province.

Key words

Zhenjiang/People’s Republic of China/A sia/Algorithms/Emerging Technologies/Machine Learning/Nano-robot/Robot/Rob otics/Jiangsu University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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