7 citations · 7 across the 14 of their papers we have counts for
4 papers · 2 filters
HexVIO: Towards All-Day Stereo-Inertial Tracking Through Commodity DSPs
Patrick Wolf, Mateo de Mayo, Daniel Cremers
The ability of a device to localize itself within its surroundings is a fundamental prerequisite for spatial computing. Visual-inertial odometry (VIO) has proven to be a cost-effec…
VkVIO: Cross-platform GPU Acceleration for Visual-Inertial Odometry with Vulkan
Ole Hoffmann, Mateo de Mayo, Daniel Cremers
Perception in robotics and XR fundamentally relies on good state estimation. Visual-inertial odometry (VIO) and Simultaneous Localization and Mapping (VI-SLAM) are proven ways of a…
Stipple: Real-Time Incremental Gaussian Splatting with Visual-Inertial Tracking
Kilian Northoff, Mateo de Mayo, Daniel Cremers
3D Gaussian Splatting (3DGS) provides efficient rendering of photo-realistic scenes, but its heavy preprocessing and training steps make it a poor fit for applications that require…
Robot Self-Improvement via Human-Video Dynamics Models
Hanzhi Chen, Anran Zhang, Simon Schaefer +5
A central question in robot learning is how to acquire skills from the kinds of data that humans learn from: passive observation, embodied practice, and the experience of failure.…