12 citations · 22 across the 5 of their papers we have counts for
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cs.CV2026★ 2 cited
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★ 1 cited
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…