3 papers
cs.CV2026
LEVIO: Lightweight Embedded Visual Inertial Odometry for Resource-Constrained Devices
Jonas Kühne, Christian Vogt, Michele Magno +1
Accurate, infrastructure-less sensor systems for motion tracking are essential for mobile robotics and augmented reality (AR) applications. The most popular state-of-the-art visual…
cs.CV2025
Efficient and Accurate Downfacing Visual Inertial Odometry
Jonas Kühne, Christian Vogt, Michele Magno +1
Visual Inertial Odometry (VIO) is a widely used computer vision method that determines an agent's movement through a camera and an IMU sensor. This paper presents an efficient and…
cs.RO2025
Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow
Liam Boyle, Jonas Kühne, Nicolas Baumann +2
Accurate velocity estimation is critical in mobile robotics, particularly for driver assistance systems and autonomous driving. Wheel odometry fused with Inertial Measurement Unit…