Jonas Kühne — accepted AI-conference papers

2025

Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow

Liam Boyle, Jonas Kühne, Nicolas Baumann, Niklas Bastuck, Michele Magno

RA-L 2025

Accurate velocity estimation is critical in mobile robotics, particularly for driver assistance systems and autonomous driving. Wheel odometry fused with Inertial Measurement Unit (IMU) data is a widely used method for velocity estimation, however, it typically requires strong assumptions, such as n

Cited by 0 Source ↗Scholar ↗

2024

CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking

Nicolas Baumann, Michael Baumgartner, Edoardo Ghignone, Jonas Kühne, Tobias Fischer, Yung-Hsu Yang +2

IROS 2024poster

To enable self-driving vehicles accurate detection and tracking of surrounding objects is essential. While Light Detection and Ranging (LiDAR) sensors have set the benchmark for high-performance systems, the appeal of camera-only solutions lies in their cost-effectiveness. Notably, despite the preva…

Cited by 11 Source ↗code ↗Scholar ↗