Zobrazeno 1 - 10
of 66 536
pro vyhledávání: '"underwater vehicles"'
Autor:
Li, Jitao1 (AUTHOR) jitaoli@hrbeu.edu.cn, Zhang, Wenhan2 (AUTHOR) zhangwenhan805@163.com, Guo, Bing1 (AUTHOR), Yao, Feng1 (AUTHOR), Zhang, Mingjun1 (AUTHOR), Shao, Xiangyu3 (AUTHOR) xiangyushao@hit.edu.cn
Publikováno v:
Unmanned Systems. Oct2024, p1-11. 11p.
Autor:
Wang, Dan1 (AUTHOR) wd1987@hrbeu.edu.cn, Liu, Liqiang2 (AUTHOR) liuliqiang@hrbeu.edu.cn, Ben, Yueyang1 (AUTHOR) byy@hrbeu.edu.cn, Cao, Liang3 (AUTHOR) caoliang622@126.com, Dong, Zhongge4 (AUTHOR) dongdongshigedanxiaogui@haas.cn
Publikováno v:
Information (2078-2489). Sep2024, Vol. 15 Issue 9, p532. 20p.
Autor:
Mitchell, Cynthia
Gravity-gradient and magnetic-gradient inversion equations are combined to estimate the orientation and distance of an underwater object. The CKF algorithm based on EMMAF algorithm and Spherical-Radial is proposed and is applied to the fault diagnosi
Advances in Autonomous Underwater Vehicles (AUVs) have evolved vastly in short period of time. While advancements in sonar and camera technology with deep learning aid the obstacle detection and path planning to a great extent, achieving the right ba
Externí odkaz:
http://arxiv.org/abs/2411.05516
Reinforcement Learning (RL) is a promising solution, allowing Unmanned Underwater Vehicles (UUVs) to learn optimal behaviors through trial and error. However, existing simulators lack efficient integration with RL methods, limiting training scalabili
Externí odkaz:
http://arxiv.org/abs/2410.14117