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Project

Automated inspection of infrastructure using drones (AutoDrone)

In this project we will use drones to detect and monitor damage in infrastructure: wind turbines, bridges, buildings, solar panels, pavements, etc. Firstly, an overview of available path planning tools will be given. Secondly, we will develop machine learning tools to automatically detect damage (cracks, potholes, corrosion). The third aim of the project is the development of a methodology to allow a systematic comparison of repeated drone based camera measurements. During the project 9 case studies will be performed. The project is performed by UAntwerpen and WTCB together with a large consortium of companies active in drone based inspections or owners of infrastructure.
Date:1 Oct 2019 →  31 Dec 2021
Keywords:CAMERA, MACHINE LEARNING, VISION
Disciplines:Machine learning and decision making, Infrastructure engineering and asset management, Computer vision
Project type:Collaboration project