Julian Lategahn

Dortmund University of Applied Sciences and Arts

Papers

Total Citations

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About

Julian Lategahn is a researcher specializing in indoor localization, autonomous robotics, and wireless sensor fusion — fields that sit at the intersection of signal processing, navigation, and intelligent systems. His work addresses one of the most persistent challenges in robotics: accurately determining the position of mobile robots in GPS-denied indoor environments. Lategahn's early contributions focused on leveraging WLAN signal strength for mobile robot localization, combining wireless signals with odometry and gyroscope data to achieve robust position estimation in complex indoor settings such as office buildings. His 2009 and 2010 papers on WLAN-based localization with sensor fusion laid a methodological foundation for hybrid positioning approaches, earning a combined 9 citations. Building on this foundation, his 2012 work extended these principles to swarm robotics, presenting a global localization framework for autonomous transport vehicles operating in warehouses and distribution centers. This system employed IEEE 802.15.4a CSS ranging with trilateration and Kalman filtering to coordinate entire fleets of robots — a practically significant advancement for industrial automation, garnering 6 citations. Collectively, Lategahn's research reflects a consistent drive to make autonomous systems more spatially aware and operationally reliable in real-world, infrastructure-constrained environments.