Abstract
Accurate indoor localization has become increasingly important in various domains, including smart homes, healthcare, logistics, and augmented reality. However, achieving precise and robust indoor localization remains a significant challenge due to the absence of GPS signals and the complex nature of indoor environments. This master thesis proposal aims to explore and develop advanced techniques for indoor localization systems, with the goal of improving their accuracy, reliability, and scalability.
Keywords
indoor positioning systems
ERC sector(s)
PE Physical Sciences and Engineering
Fields of study
Name supervisor
Maurizio Palesi
E-mail
maurizio.palesi@unict.it
Name of Department/Faculty/School
Department of Electrical Electronics and Computer Engineering
Name of the host University
University of Catania (UNICT)
EUNICE partner e-mail of destination Research
eunice@unict.it
Country
Italy
Thesis level
Master
Minimal language knowledge requisite
English B1
Thesis mode
Hybrid
Start date
Length of the research internship
6 months
Financial support available (other than E+)
No