首页|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)
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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
VisakhapatnamIndiaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningDepartment of Computer Sciences and Engineering
NETL
NSTL
