Yudi Dai
Papers
1
Total Citations
24
H-Index
1
About
Yudi Dai is a leading researcher in computer vision and graphics, specializing in human-centered 4D scene capture, motion tracking, and spatial intelligence. His most notable contribution is the development of HSC4D (Human-centered 4D Scene Capture), a pioneering framework that enables accurate, large-scale dynamic scene reconstruction using only body-mounted IMUs and LiDAR sensors. This work, published in 2022 and already garnering 24 citations, addresses the critical challenge of capturing complex human-environment interactions across both indoor and outdoor spaces without the constraints of external cameras or fixed infrastructure. By fusing wearable inertial and LiDAR data, Dai’s approach allows for space-free, real-time digitization of human motion and surrounding geometry, marking a significant leap toward immersive digital twins and embodied AI. His research has profound implications for robotics, virtual reality, and human-computer interaction, offering a practical pathway to creating dynamic, interactive digital worlds. Dai’s work stands out for its elegant integration of hardware and algorithms, making high-fidelity 4D capture accessible and deployable in real-world scenarios.
Research Focus
Key Achievements
Top Papers
- 1