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 Exploring Universal 6-DoF Self-Localization Speaker (s):
Hideaki Uchiyama
Associate Professor
Nara Institute of Science and Technology
| Date: Time: Venue: | | 14 August 2025, Thursday 11:00am – 12:00pm School of Computing &
Information Systems 2 (SCIS 2)
Level 4, Meeting Room 4-1
Singapore Management University
90 Stamford Road,
Singapore 178903 Please register by 13 August 2025.  |
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About the Talk This talk explores the concept of universal 6-DoF self-localization, which refers to estimating an object’s position and orientation in three-dimensional space. Such localization is fundamental to applications including AR/VR, robotics, and human?computer interaction. Camera-based approaches, exemplified by visual SLAM, have become mature and widely used. However, vision alone is often unreliable or unusable in certain scenarios, such as low-light or textureless environments. Achieving universal self-localization therefore requires sensor fusion methods that complement visual sensing. In this talk, I will present recent advances using inertial measurement units (IMUs) and introduce techniques that fuse IMUs with ultra-wideband (UWB) sensors for human pose tracking. About the Speaker Hideaki Uchiyama is an associate professor at Nara Institute of Science and Technology (NAIST). He received his Ph.D. degree from Keio University in 2010. He was a postdoctoral researcher at INRIA in France and later worked at the R&D Center of Toshiba Corporation. He then served as an assistant professor at Kyushu University. His research interests span computer vision, pattern recognition, machine learning, and sensor engineering, with applications to AR/VR, human-computer interaction, and multimodal sensing. He has earned several international awards in navigation technologies, including multiple first-place awards in major competitions. |
