应用于羽流检测和跟踪的多自动驾驶车辆

José Pinto, R. Mendes, J. da Silva, J. Dias, J. D. de Sousa
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引用次数: 6

摘要

本文提出了一种研究河流羽流的新方法。它将遥感与一组无人驾驶车辆(水下和空中)进行的自主原位观测相结合。在遥控无人机从空中探测羽流的同时,多个水下航行器自主探测羽流边缘,并通过多次自主穿越来绘制其结构。这种方法已被多次用于获取波尔图杜罗河羽流的三维结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple Autonomous Vehicles Applied to Plume Detection and Tracking
This paper presents a novel approach for studying riverine plumes. It combines remote-sensing with autonomous in-situ observations performed by a set of unmanned vehicles (underwater and aerial). While an aerial drone is remotely piloted to detect the plume from air, multiple underwater vehicles autonomously detect the plume edge and map their structure by traversing it multiple times, autonomously. This approach has been used multiple times to acquire the 3D structure of the Douro river plume, in Porto.
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