Researchers at Department of Computer Sciences and Engineering Target Machine Learning (Unscented Kalman Filters Integrated With Deep Learning Approaches for Active Sonar Based 2d Underwater Target Tracking)

Robotics & Machine Learning Daily News2024，Issue(Oct.22) ：59-59.

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Researchers at Department of Computer Sciences and Engineering Target Machine Learning (Unscented Kalman Filters Integrated With Deep Learning Approaches for Active Sonar Based 2d Underwater Target Tracking)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Learning. According to news reporting from Visakhapatnam, India, by NewsRx journalists, research stated, “This manuscript proposes a new approach to track 2D targets using a combination of machine learning algorithms and the Unscented Kalman filter (UKF). The approach makes use of active sonar sensors to measure range and bearing, which are used to predict the target’s course and speed.”

Key words

Visakhapatnam/India/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Department of Computer Sciences and Engineering

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出版年

2024

Robotics & Machine Learning Daily News

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