Speakers
AI-Driven Resilient PNT: Enabling Trusted Navigation and Timing in Challenging Environments
Artificial Intelligence (AI) is transforming the design and operation of Positioning, Navigation and Timing (PNT) systems across transportation, telecommunications, critical infrastructure, autonomous systems, space, and defence applications. As demands on accuracy, availability, integrity, and resilience continue to grow, AI is emerging as a key enabler for enhancing the performance of PNT systems operating in complex, contested, and GNSS-challenged environments. In this talk, we will discuss scenarios for AI use in PNT applications for autonomous transport, aerial and maritime systems, emerging non-terrestrial networks, and timing. Alongside the opportunities offered by AI, the discussion will also cover practical challenges associated with deploying AI-based solutions, such as data quality and representativeness, model robustness and explainability, performance validation, and simulation and Hardware-in-the-Loop testing requirements.
Prof Ivan Petrunin received the MSc degree in design of electronic equipment from the National Technical University of Ukraine, in 1998, and the Ph.D. degree in Applied Signal Processing from Cranfield University, in 2012. He is currently a Professor of Signal Processing and Intelligent Systems with the Centre for Space Systems, Faculty of Engineering and Applied Sciences of Cranfield University. His expertise covers areas of signal processing and artificial intelligence with application to resilient navigation and timing solutions for ground and aerial systems, perception and situational awareness for autonomous systems operations. Ivan's research has a particular emphasis on the enhancement of performance and safety aspects of operations by developing and employing techniques based on Artificial Intelligence.