Jan Quenzel
Papers
10
Total Citations
209
H-Index
6
About
Jan Quenzel is a leading researcher in autonomous robotics, specializing in Simultaneous Localization and Mapping (SLAM), multi-sensor perception, and disaster response robotics. His most influential work, "Real-time Multi-Adaptive-Resolution-Surfel 6D LiDAR Odometry using Continuous-time Trajectory Optimization" (47 citations), introduces a breakthrough method for real-time 6D LiDAR odometry that combines continuous-time B-spline trajectory representation with adaptive-resolution surfel mapping, enabling robust SLAM under high data rates. Quenzel has also made significant contributions to micro aerial vehicle (MAV) navigation, developing efficient multi-camera visual-inertial SLAM systems (40 citations) that address the challenges of fast and complex flight dynamics. As a key member of the German Rescue Robotics Center (DRZ), he has led holistic approaches to robotic emergency response (36 citations), including real-world deployments for structural collapse inspection and fire detection. His work on collaborative object picking with MAV teams (25 citations) and autonomous chimney inspection (19 citations) demonstrates practical applications in challenging environments. Quenzel’s research, with over 200 total citations, has been recognized through multiple competition successes, including the MBZIRC 2020, where his UAVs excelled in target chase, wall building, and firefighting tasks.
Research Focus
Key Achievements
Top Papers
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- 2Efficient multi-camera visual-inertial SLAM for micro aerial vehicles40 citations · 2016
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- 8Reconstruction of Textured Meshes for Fire and Heat Source Detection6 citations · 2019
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