
About
Yuze He is a Research Fellow in the Computer Science Department at Carnegie Mellon University, specializing in infrastructure-supported autonomous driving systems. His research integrates LiDAR technology, real-time mapping, and edge computing to enhance perception and localization for autonomous vehicles.
Recent work focuses on high-resolution panoramic LiDAR systems, roadside infrastructure coordination, and efficient 3D mapping solutions. He develops federated learning frameworks for distributed edge platforms and contributes benchmark datasets for traffic analysis.
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