Papers
6
Total Citations
1,751
H-Index
6
About
Joern Rehder is a prominent robotics researcher whose work sits at the intersection of sensor fusion, state estimation, and autonomous navigation. He is best known for his foundational contributions to multi-sensor calibration, particularly through his development of spatiotemporal calibration frameworks that enable robots to accurately align data from heterogeneous sensor arrays. His 2013 paper on unified temporal and spatial calibration has garnered over 780 citations, establishing itself as a cornerstone reference in the field, while his extensions to the widely adopted Kalibr calibration toolbox — addressing multiple IMUs and individual axes — have accumulated nearly 380 citations, reflecting their broad practical adoption. Rehder's research also spans real-time SLAM for Micro Aerial Vehicles, where his synchronized visual-inertial sensor system with FPGA pre-processing demonstrated how careful hardware-software co-design can enable accurate six-degree-of-freedom pose estimation in resource-constrained platforms. His work on river mapping from flying robots and monocular visual odometry further illustrates his range, tackling real-world challenges like scale ambiguity and environmental perception. With over 1,750 cumulative citations across his most influential publications, Rehder has made enduring contributions that continue to shape how autonomous systems perceive and navigate complex environments.
Research Focus
Key Achievements
Top Papers
- 1Unified temporal and spatial calibration for multi-sensor systems784 citations · 2013
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- 5A General Approach to Spatiotemporal Calibration in Multisensor Systems103 citations · 2016
- 6Monocular Visual Odometry using a Planar Road Model to Solve Scale Ambiguity75 citations · 2018