Hannes Hofer

Papers

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About

Hannes Hofer is a leading researcher in indoor positioning and navigation systems, with a particular focus on sensor fusion and robust localization in challenging environments. His work centers on integrating Ultra-Wideband (UWB) and Wi-Fi technologies to overcome the limitations of individual positioning systems, especially in indoor settings where GPS is unavailable. Hofer’s most cited paper, “Range validation of UWB and Wi-Fi for integrated indoor positioning” (2019, 27 citations), addresses a critical challenge in fusion algorithms: ensuring that the error distributions of heterogeneous measurements are correctly modeled to maintain accuracy and reliability. This contribution is foundational for developing resilient positioning systems that can adapt to real-world conditions, such as signal interference or multipath effects. Beyond this work, Hofer has advanced the state of the art in robust estimation techniques, enabling more dependable navigation for autonomous systems, robotics, and IoT applications. His research has been recognized for its practical impact, bridging the gap between theoretical sensor fusion and deployable solutions. For students and researchers, Hofer’s work offers a clear example of how rigorous validation of measurement models can dramatically improve the performance of integrated positioning systems in complex environments.