Puyuan Hu

Papers

Total Citations

H-Index

About

Puyuan Hu is a researcher advancing the frontiers of autonomous driving and mobile robotics, with a primary focus on cross-modal localization and sensor fusion. Their most-cited work, "LHMap-loc: Cross-Modal Monocular Localization Using LiDAR Point Cloud Heat Map" (2024, 3 citations), tackles a critical challenge in the field: enabling a monocular camera to accurately localize within a pre-built LiDAR point cloud map. Hu’s major contribution lies in addressing persistent obstacles such as map storage inefficiencies and poor localization robustness in large-scale environments. By introducing a heat map-based approach, they have improved the reliability and practicality of cross-modal localization, a key enabler for cost-effective autonomous systems. This work demonstrates Hu’s ability to bridge the gap between different sensing modalities, enhancing the feasibility of deploying monocular cameras in complex, real-world scenarios. With a growing citation count and a focus on solving foundational problems, Puyuan Hu is establishing themselves as a promising voice in robotics and autonomous navigation, offering solutions that could streamline the integration of diverse sensor technologies in future intelligent vehicles.