Yao Yu

Papers

Total Citations

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About

Yao Yu is a leading researcher in 3D computer vision and autonomous systems, with a focus on LiDAR-based perception and semantic mapping. His foundational work, "Super-Segments Based Classification of 3D Urban Street Scenes" (2012, 34 citations), pioneered a novel approach to classifying 3D point clouds from urban street scenes, enabling robots and autonomous vehicles to assign semantic labels to every point in their environment—a critical step toward real-world deployment. Building on this, Yu’s more recent contribution, "Reconstruction of High-Precision Semantic Map" (2020, 5 citations), introduces a real-time Truncated Signed Distance Field (TSDF)-based 3D semantic reconstruction system for LiDAR data. This work achieves both incremental surface reconstruction and highly accurate semantic segmentation simultaneously, addressing the challenge of creating high-precision, real-time semantic maps for autonomous navigation. By bridging classification and reconstruction, Yao Yu has advanced the practical integration of semantic understanding into 3D mapping, directly impacting the development of safer, more perceptive autonomous systems. His research continues to shape how machines interpret complex urban environments.