1 of 3 slides.
MIT Mini-Cheetah Workshop: New challenges and opportunities from tech-sharing
Winner of the ECCV'20 Koenderink Award
Unveiling 2,092-km Road Layout, Featuring Seoul’s Citywide Road Data
Indoor AR Navigation in Gangnam Station, the Toughest Technological Challenge in Korea
Making a Robot's Brain - Platform Engineering Team
Entire region of Seoul in 3D, aerial photograph-based 3D modeling of Seoul
BLT Gripper, Robot Hands With a New Structure – Interview With Professor Yong-Jae Kim
Extracting Road Layout Information From Aerial Images Through Deep Learning Technology
HD Map & Localization Dataset V1.0 (Yeouido)
Enabling Robots to Learn Indoor Autonomous Driving Algorithms That Allow Them to Adapt to Various Settings and Tasks Through Reinforcement Learning
Aerial image based 3D modeling for HD mapping
High-Precision Synergies of Experts, Hybrid HD Mapping