Autonomous monitoring and prediction of marine pollution

“海洋污染自主监测和预测”项目旨在开发海洋泄漏(通常是浮油)的自主测绘和监测方法。这将使多辆自动驾驶车辆的远程测绘任务能够在人类控制器输入最少的情况下高效运行。将开发高保真的海洋和风环境模型、传感器和无人机用于算法验证和测试，控制回路中使用的是低保真度和实时仿真。行业赞助商Andrew Moore and Associates打算利用这项研究收集信息，以支持围绕海上事故的清理行动和法律索赔：计算泄漏的震中并预测未来的损害。

The project 'Autonomous monitoring and prediction of marine pollution' is aiming to develop methods for autonomous mapping and monitoring of maritime spillages, usually oil slicks. This will enable long range mapping missions of multiple autonomous vehicles operating efficiently with minimal input from a human controller. High fidelity models of the sea and wind environment, the sensors and the unmanned vehicles will be developed for algorithm verification and testing, with a lower fidelity and real-time simulation to be used in the control loop. The industry sponsor, Andrew Moore and Associates, intends to utilise the research to gather information to support clean-up operations and legal claims that surround maritime accidents: Calculating the spillage epicentre and predicting future damages.