LiBertaS aims to liberate the access of Location Based Services (LBS) to the highly accurate fingerprinting methods in business practice, by greatly downscaling the data volume needed for their operation. Location Based Services (LBS) have recently undergone a tremendous increase in popularity. Despite the proven superiority of the fingerprinting methods in terms of localization accuracy, their requirement for an extensive data collection and the related costs, proves to be the main barrier preventing their market adoption.
LiBertaS plans to tackle this issue following a multifaceted approach. LiBertaS will operate as a synergistic power that will study the optimal combination of previous findings, linking pieces in a puzzle, to construct a first-of-its-kind comprehensive framework. In LiBertaS, we will study, evolve and combine 3 main research directions in a synergistic manner. We will explore the individual and combined capabilities of three innovative concepts: (i) estimate selection based on the Dynamic Accuracy Estimation, (ii) Proximity-based fingerprint augmentation, and (iii) Generative Modeling. The work plan of LiBertaS aims to bring the relevant research line of our work full circle.
LiBertaS will combine our previous contributions, which were mainly produced within the Eratosthenes project. More particularly, LiBertaS builds on top of these works:
G. G. Anagnostopoulos and A. Kalousis, “ProxyFAUG: Proximity-based Fingerprint Augmentation”, in 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Nov. 2021, pp. 1–7. doi: 10.1109/IPIN51156.2021.9662590.
G. G. Anagnostopoulos and A. Kalousis, “Analysing the Data-Driven Approach of Dynamically Estimating Positioning Accuracy”, in ICC 2021 - IEEE International Conference on Communications, Jun. 2021, pp. 1–7. doi: 10.1109/ICC42927.2021.9500369.
G. G. Anagnostopoulos and A. Kalousis, “Can I Trust This Location Estimate? Reproducibly Benchmarking the Methods of Dynamic Accuracy Estimation of Localization”, Sensors , vol. 22, no. 3, p. 1088, Jan. 2022, doi: 10.3390/s22031088.
Dr. Grigorios Anagnostopoulos, research associate of the dmml group, is the grantee of the LiBertaS project. LiBertaS is funded under the Small Projects funding scheme of the Halser Foundation, who is gratefully acknowledged by the grantee.
Related previous projects: