Plume tracing simulations using multiple autonomous underwater vehicles

Plume tracing simulations using multiple autonomous underwater vehicles
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使用多个自主水下航行器进行羽流追踪模拟

DOI:
10.1145/3567600.3568149
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发表时间:
2022
期刊:
WUWNet '22: Proceedings of the 16th International Conference on Underwater Networks & Systems
影响因子:
--
通讯作者:
Zhang, Fumin
Zhang, Fumin
中科院分区:
--
文献类型:
--
作者:
Sampathkumar, Aswanth;Dugaev, Dmitrii;Song, Aijun;Hu, Fei;Peng, Zheng;Zhang, Fumin

文献摘要

参考文献

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本文描述了利用ROS和Gazebo对一支用于羽流探测和羽源跟踪的自主水下航行器(auv)舰队进行仿真。这是通过集成水下航行器仿真工具来实现的,这些工具可以对航行器、羽流、水下环境及其动力学进行建模。羽流追踪是由一个轨迹规划器完成的,或者是由一个领导机器人跟着一组机器人按照几何图形规划它们的位置。本文讨论的结果表明,该平台已为使用auv舰队的高级应用而建立。
This paper describes the simulation of a fleet of Autonomous underwater vehicles (AUVs) used for plume detection and plume source tracking using ROS and Gazebo. This is achieved by the integration of underwater vehicle simulation tools that model the vehicle, plume, underwater environment, and its dynamics. The plume tracing is done by a trajectory planner, or a leader robot followed by a group of robots planning their positions in a geometric pattern. The results discussed in this paper demonstrate the platform that has been setup for advanced applications using a fleet of AUVs.
使用自动驾驶车辆进行热羽流边界跟踪和快速测绘
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发表时间: 2006
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影响因子: --
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