Stefan Reitmann

TU Bergakademie Freiberg, Chemnitz University of Technology, Lund University

Papers

Total Citations

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About

Stefan Reitmann is a researcher at the forefront of human-robot interaction and geospatial simulation, whose work bridges the gap between virtual environments and autonomous systems. His primary research areas include virtual world generation from open geodata, pedestrian-robot interaction, and situational awareness in unmanned aerial vehicle (UAV) operations. Reitmann’s major contributions include developing workflows to integrate heterogeneous open geodata—such as 2D maps, digital elevation models, and aerial photographs—into game engines like Unreal and Godot, enabling realistic virtual worlds for simulation and training. His work on pedestrian-robot interaction explores how mobile delivery robots can safely navigate sidewalks using external user interfaces, while his framework for assessing situational awareness in beyond visual line of sight (BVLOS) UAV operations provides a modular simulator testbed for evaluating operator performance in complex scenarios. With over 11 citations across his most-cited papers, Reitmann’s research is gaining traction in the fields of robotics, geoinformatics, and human factors. Notably, his 2025 paper on BVLOS UAV operations introduces a novel simulation environment that could enhance safety and efficiency in autonomous drone missions, positioning him as an emerging voice in the integration of virtual worlds and real-world autonomous systems.