Yitai Lin

Papers

Total Citations

H-Index

About

Yitai Lin is a leading researcher at the frontier of spatial intelligence, specializing in 3D mapping, LiDAR-based localization, and human-centric scene capture. His work fundamentally advances how autonomous systems and robots perceive and interact with complex, dynamic environments. Lin’s most influential contribution is **HSC4D**, a groundbreaking framework for human-centered 4D scene capture that uses only body-mounted IMUs and LiDAR to reconstruct large-scale indoor-outdoor spaces with rich human-environment interactions—a method that is both space-free and highly accurate, earning 24 citations. He also pioneered **STCLoc**, a deep LiDAR localization technique that integrates spatio-temporal constraints for robust 6-DoF pose estimation, achieving 14 citations and offering a powerful alternative to traditional map-based methods. His earlier work on cooperative indoor 3D mapping using LiDAR data (28 citations) laid the foundation for multi-agent spatial understanding. With a total of over 66 citations across his top papers, Lin’s research is pivotal for advancing autonomous navigation, mixed reality, and digital twin technologies, making him a key figure in the evolution of real-world 3D perception.