Mobilaris & Lulea University Improve Based Positioning in Mining
Mobilaris recently initiated a collaboration with Lulea University of Technology’s project Applied AI DIH North. The purpose is to identify, apply and demonstrate different AI methods regarding positioning information. The goal is to develop the ability and accuracy of the company’s existing solutions for mining and tunnelling applications and look at how new services and products can be created. The collaboration will last for two years and is led by George Nikolakopoulos, Professor of Robotics and Artificial Intelligence at Lulea University of Technology.
The Applied AI DIH North project aims to create a strong innovation system for growth in the AI industry, a Digital Innovation Hub as a base, in collaboration, research, innovation, applied test-driven development, education and cluster formation. The project lasts for three years and is financed by the EU’s regional development fund (Tillväxtverket), Lulea University of Technology, Luleamunicipality, Skelleftea municipality and the Norrbotten Region.
Finding discrepancies in distributed localisation systems will be part of the project. Deviations in this case would be, for example, unnatural movements for a particular entity or person that do not conform to natural behaviour. “Obtaining positioning information on a global scale, based on sensors on a local scale or in existing infrastructure for positioning and communication has a growing demand. Many location algorithms designed for this purpose base their function on different types of built-in sensors and have been created in many different systems to provide location, such as WiFi, GPS, etc. However, these systems and sensors are vulnerable to variations in operating conditions and surrounding environments. There are many factors that can limit performance, eg inaccessible GPS environments or outdoor operations with poor GPS reception.”