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About

Tomas Thalmann is a geodesy and engineering measurement researcher whose work focuses on kinematic multi-sensor systems, robotic total stations (RTS), and precision positioning in GNSS-denied environments. His research addresses a critical gap in mobile mapping and navigation: enabling accurate indoor and outdoor positioning where satellite-based systems fall short. Thalmann's most influential contribution, "Temporal Calibration and Synchronization of Robotic Total Stations for Kinematic Multi-Sensor Systems" (2020, 16 citations), established foundational methods for integrating RTS into dynamic data acquisition workflows, a challenge previously limiting their adoption compared to GNSS. Building on this, his work on sensor fusion of RTS with inertial navigation systems advances 6-degree-of-freedom pose estimation through tight-coupling approaches, broadening applications in robotics and control guidance. His 2020 accelerometer calibration study further demonstrates his attention to systematic error sources in geodetic instrumentation. More recently, Thalmann has turned his focus toward unmanned aerial systems (UAS), reviewing and simulating decentralized multi-sensor RTS frameworks for trajectory estimation. Collectively, his publications reflect a coherent research agenda pushing RTS technology beyond traditional surveying into dynamic, real-time navigation contexts — making his work particularly valuable for researchers in engineering geodesy, mobile mapping, and autonomous systems.