Christian Brommer
Papers
8
Total Citations
70
H-Index
5
About
Christian Brommer is a leading researcher in autonomous mobile robotics, specializing in state estimation, sensor fusion, and localization for unmanned aerial vehicles (UAVs) operating in extreme and unstructured environments. His major contributions center on developing robust navigation systems that fuse radar, inertial, and visual data to enable reliable 6DoF pose and velocity estimation—even in GPS-denied or Mars-analog settings. Brommer’s work on the multi-state tightly-coupled EKF-based radar-inertial odometry (2023, 23 citations) addresses the challenge of sparse, noisy radar signals, while his INSANE dataset (2024, 11 citations) provides a rich, multi-sensor benchmark for cross-domain UAV navigation research. He also led the AVI-NAV project for the AMADEE-18 analog Mars mission (2020, 10 citations), testing vision-based UAV localization for planetary exploration. His research extends to system identification for quadrotor control (2021, 8 citations) and kinematics-inertial fusion for cable-suspended robots (2022, 7 citations). With over 70 total citations and a focus on real-world deployment, Brommer’s work is pivotal for advancing autonomous navigation in challenging, safety-critical applications.
Research Focus
Key Achievements
Top Papers
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- 4Combined System Identification and State Estimation for a Quadrotor UAV8 citations · 2021
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