Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling
A rectified-flow-based LiDAR upsampling approach for simplifying registration between camera images and point clouds.
Reon Tabata
M2 Student at Toyohashi University of Technology
Toyohashi University of Technology, Active Intelligent Systems Laboratory
·
National Institute of Advanced Industrial Science and Technology (AIST), Smart Mobility Research Group
Reon Tabata studies environmental perception and autonomous navigation for
mobile robots. His work combines LiDAR, cameras, computer vision, and
machine learning.
Slope Detection and Mobile Robot Guidance Using 3D LiDAR and an RGB Camera
Poster presentation on detecting a ramp from a distance and guiding a mobile robot to climb it.