Dr. Rajesh Tiwari is a senior scientist at QinetiQ, an Associate Fellow of the Royal Institute of Navigation, and an Honorary Fellow of the University of Nottingham, UK. He specializes in GNSS signal processing, navigation modelling, and is an expert in attitude determination using multiple GNSS receivers. Dr. Tiwari is proficient in GNSS signal acquisition Tracking and RTK/PPP and developed an innovative integrity prototype for autonomous vehicle Level-5. Dr. Tiwari has 15 years of experience in GNSS signal processing and sensor fusion, including academic and industrial research.

Johannes Kröger received his M.Sc. degree in Geodesy and Geoinformatics at the Leibniz University Hannover (Germany) in 2018. Since then, he works as a Ph.D. student at the Institut für Erdmessung (LUH). His current interests are absolute GNSS receiver antenna calibration and the analysis of high-sensitivity GNSS equipment. In particular, he investigates and optimizes the calibration procedure and estimation of phase center corrections (PCC) and develops methods to compare different sets of PCC.

Dr Ivan Petrunin Reader in Signal Processing for Autonomous Systems and DARTeC Fellow Ivan has extensive knowledge and experience in the area of Digital Signal Processing for Autonomous Systems which covers sensor technologies, perception, data and information fusion, and decision-making for Cyber-Physical Systems.Applications for these developments include vehicle health management, communication and surveillance solutions and, more recently, Position, Navigation and Timing (PNT) for aerospace and ground-based Autonomous and Intelligent Systems.

Andrea Masiero is Associate Professor of Geomatics at the Research Center of Geomatics of the University of Padua. His research interests range from Geomatics, Mobile Mapping, Positioning and Navigation, Machine Learning to Computer Vision and Remote Sensing. In this work he is going to talk about indoor collaborative indoor positioning based on smartphone sensors, such as inertial sensors, and UWB radio signals.