AIDERS

Overview

Description

The ‘Real-time Artificial Intelligence for Decision support via RPAS data analytics’ (AIDERS) project aims to develop application-specific algorithms and a novel mapping platform that will harness the large volume of data that first responders are now able to collect, and convert it into actionable decisions for improved emergency response.

Currently, the majority of first responders looking to introduce a remotely piloted aircraft system (RPAS) units into their operations quickly find a huge amount of data and rely only on a handful of information to inform incident commanders of situations in the field. They are able to access the data through heterogeneous sensors onboard RPAS units. To address this challenge, the project will capitalise on collaboration between first responders and technical partners in the consortium to identify what information first responders need to know. It will also design online machine learning algorithms to process and analyse data in real-time in order to build situational maps. Finally, the project will implement visualisations that can be used by higher command to better make decisions.  

AIDERS will achieve its objectives through four main outputs, namely: 1) knowledge on the potential use of artificial intelligence (AI) techniques and algorithms for acquiring valuable incident information; 2) a novel AI toolkit to provide relevant, reliable and timely information from the available aerial sensor data; 3) field exercises to evaluate the integration and performance of the AI toolkit; and 4) training activities for first responders.

Partner organisations