水質モニタリングAI応用に向けた自律型水上ビークル試作機
Towards an Autonomous Surface Vehicle Prototype for Artificial Intelligence Applications of Water Quality Monitoring
水質センサとステレオカメラを搭載した自律型水上ビークルの実機試作を行い、YOLOv5によるマクロプラスチック検出と水質・水深計測の実験結果を示した。
著者: Luis Miguel Díaz, Samuel Yanes Luis, Alejandro Mendoza Barrionuevo, Dame Seck Diop, Manuel Perales, Alejandro Casado, Sergio Toral, Daniel Gutiérrez
分類: cs.RO, cs.AI, cs.LG
原文アブストラクト
The use of Autonomous Surface Vehicles, equipped with water quality sensors and artificial vision systems, allows for a smart and adaptive deployment in water resources environmental monitoring. This paper presents a real implementation of a vehicle prototype that to address the use of Artificial Intelligence algorithms and enhanced sensing techniques for water quality monitoring. The vehicle is fully equipped with high-quality sensors to measure water quality parameters and water depth. Furthermore, by means of a stereo-camera, it also can detect and locate macro-plastics in real environments by means of deep visual models, such as YOLOv5. In this paper, experimental results, carried out in Lago Mayor (Sevilla), has been presented as proof of the capabilities of the proposed architecture. The overall system, and the early results obtained, are expected to provide a solid example of a real platform useful for the water resource monitoring task, and to serve as a real case scenario for deploying Artificial Intelligence algorithms, such as path planning, artificial vision, etc.
