Michael Fleps-Dezasse

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Tokyo Institute of Technology

Papers

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About

Michael Fleps-Dezasse is a leading researcher in sensor fusion, state estimation, and vehicle dynamics, with a focus on integrating inertial measurement units (IMUs) with vision systems for robust mobile robotics. His most influential work, "Spatio-temporal initialization for IMU to camera registration" (2011, 56 citations), addresses a critical challenge in inertial-visual sensor systems: achieving accurate, drift-free localization at high dynamics by properly calibrating the spatial and temporal alignment between cameras and IMUs. This contribution is foundational for autonomous navigation in complex environments. Fleps-Dezasse also advanced the field of co-simulation by developing an extended FMI 2.0 interface for nonlinear state estimation (2014, 16 citations), enabling seamless integration of Modelica models into real-time estimation algorithms. Additionally, his work on semi-active vehicle damper modeling and parameter identification (2014, 3 citations) for the DLR robotic electric vehicle ROboMObil demonstrates his expertise in vehicle dynamics and control. Through these contributions, Fleps-Dezasse has significantly improved the reliability and performance of sensor fusion systems, impacting both robotics and automotive applications.