Precise positioning is commonly associated with Global Navigation Satellite Systems (GNSS). However, in GNSS-denied environments, i.e. where GNSS signals are unavailable due to signal coverage, spoofing, or jamming, other concepts such as 5G, Signal of Opportunities or vision-based positioning supported by SLAM (Simultaneous Localization and Mapping) methods are considered. These alternative concepts have themselves challenges. For example, visual-based positioning suffers in case of lack of texture in the images, illumination changes, or weak network geometry. Currently, these concepts are being developed independently, as they are designed for different case scenarios. The integration of complementary positioning approaches and GNSS-based positioning has not been extensively explored. Knowing that each technique has its pros and cons, it is expected that a fusion of techniques will bring benefits, particularly in challenging environments, such as urban canyons, forests (under canopy), and road tunnels. Within this PhD project, the successful candidate will first tackle the positioning problem from various perspectives. After identifying the strengths and weaknesses of different techniques, the candidate is supposed to develop a fusion solution for GNSS and vision-based methods. This will be validated under both simulated (artificially degraded GNSS or visual signals) and real-time scenarios, considering availability and accuracy as the primary quality indicators.

This PhD opportunity is a collaboration between Fondazione Bruno Kessler and the University of Roma Sapienza – Earth Observation. For more information on this call and how to apply, please visit the website of the University of Roma Sapienza (https://www.uniroma1.it/it/pagina/ammissione-ai-corsi-di-dottorato).