Papers
3
Total Citations
9
H-Index
2
About
Chunhao Shi is a researcher advancing the frontiers of 3D perception and autonomous systems, with key contributions in point cloud object recognition, multi-object tracking, and trajectory prediction. His work addresses critical challenges in LiDAR-based perception for autonomous driving, robotics, and smart cities. Shi’s most cited paper (2023, 5 citations) introduces a novel point cloud object recognition method using histograms of dual deviation angle features, enhancing 3D perception accuracy for remote sensing and autonomous navigation. Building on this, his 2024 work (3 citations) proposes an intra-frame graph structure and inter-frame bipartite graph matching with ReID-based occlusion resilience, significantly improving multi-object tracking in complex environments. Most recently, Shi developed a heterogeneous multi-agent risk-aware graph encoder with a continuous parameterized decoder for trajectory prediction (2024, 1 citation), addressing collision risks at intersections by modeling diverse road constraints and agent interactions. His research demonstrates a systematic progression from foundational object recognition to advanced tracking and predictive modeling, with direct applications in autonomous driving safety. Shi’s innovative graph-based and feature-driven approaches are shaping the next generation of robust, real-time 3D perception systems.
Research Focus
Key Achievements
Top Papers
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