ARBÖRIA: AN OPEN-DATA BASED URBAN FOREST SOLUTION IMPROVED BY AI OPTIMISATION
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- ARBÖRIA: AN OPEN-DATA BASED...
EUHubs4Data partners collaborate to automate urban tree inventories using LiDAR, satellite, and Google Street View data. The experiment aims to improve tree positioning, avoid false positives, and enhance detection algorithms.
Start date: 01/02/2023
Duration in months: 9
Problem Description
Urban green infrastructures are often inventoried in field, with huge economic costs. Nowadays, data sources such as LiDAR, satellite or Google Street View allow us to automatize these urban tree inventories, when technologies such as Computational Vision and Artificial Intelligence are used.
Goals
New services
Challenges
To improve the current functionalities of arböria through AI and computational vision in terms of both methodologies and skills, together with improving its market readiness.
Innovation results
The main innovations involve creating a 360-degree GSV image dataset for tree positioning and identification, improving algorithms for LiDAR information and computer vision, and transforming arböria from experimental to marketable.
Business impact
Confidential