Title | Classifying, improving and evaluating Indoor Tracking Systems |
Author | Alpha DIALLO |
Director of thesis | Prof. Benoît Garbinato |
Co-director of thesis | |
Summary of thesis | In recent decades, there has been growing interest in location-based services using Global Satellite Navigation Systems (GNSS) such as the Global Positioning System (GPS) or Galileo. These systems require a direct line of sight to the satellites to operate. Although we spend most of our time indoors, there is no standard solution for tracking people or assets in indoor environments. This is mainly because existing Indoor Tracking Systems (ITS) are complex to deploy or offer low accuracy under real-life conditions. In this thesis, we present five papers divided into three chapters. The first chapter reviews the literature and proposes a unified conceptual model to classify and compare the existing ITS. In the second chapter, we propose solutions to reduce infrastructure costs while improving the accuracy of ITS. To achieve this, we rely on an inertial-based ITS, which accumulates errors over time and leads to drifting trajectories. We propose novel error correction algorithms complemented by fixed Bluetooth Low Energy (BLE) beacons positioned at strategic locations. Our algorithms use a collaborative approach, enabling mobile devices to correct their location estimates by opportunistically exchanging data in a peer-to-peer manner. The third chapter addresses the challenges of devising, evaluating, and fine-tuning tracking algorithms. Our aim is to speed up research and bring transparency to experiments to guarantee their reproducibility. To achieve this, we propose MobiXIM, a novel framework that aims to standardise the processes for building tracking algorithms. We aim to further research and innovation in ITS by providing open access to all our experimental data. |
Status | finished |
Administrative delay for the defence | 2025 |
URL | https://doplab.unil.ch/alpha-diallo/ |
https://www.linkedin.com/in/alpha-diallo-09/ | |
https://twitter.com/alphadl9 | |