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Indoor AR Navigation in Gangnam Station, the Toughest Technological Challenge in Korea
[H2W@NL] The Power of Delicious Food That Makes You Forget Unnecessary Things—An Interview With LABS Kitchen
Making a Robot's Brain - Platform Engineering Team
Entire region of Seoul in 3D, aerial photograph-based 3D modeling of Seoul
NAVER LABS Europe Wins Long-term Visual Localization Challenge at CVPR 2020
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
Additional Free Distribution of HD Map Datasets for Yeouido and Magok Areas
HD Map & Localization Dataset V1.0 (Yeouido)
HD Map & Localization Dataset V1.0 (Magok)
[Mapping & Localization Challenge] Dataset Building Process and the Visual Localization Baseline Techniques
Enabling Robots to Learn Indoor Autonomous Driving Algorithms That Allow Them to Adapt to Various Settings and Tasks Through Reinforcement Learning