Jinpeng Zhang
Papers
2
Total Citations
18
H-Index
2
About
Jinpeng Zhang is a leading researcher in autonomous driving and robotics, specializing in dynamic SLAM (Simultaneous Localization and Mapping) and LiDAR-based place recognition. His work addresses fundamental challenges in enabling machines to perceive and navigate complex, changing environments. Zhang’s major contribution, **DynaQuadric**, introduces a groundbreaking dynamic quadric SLAM system that overcomes the limitations of traditional static-environment assumptions. By enabling accurate pose estimation and reconstruction of moving objects using quadric surfaces, this work—garnering 9 citations since 2024—directly advances semantic perception for autonomous systems. Additionally, his **MVSE-Net** tackles the persistent problem of place recognition in LiDAR data, proposing a multi-view deep network with semantic embedding that improves feature representation and robustness to environmental changes. This highly cited work (9 citations) demonstrates his ability to combine deep learning with geometric understanding. Zhang’s research is notable for bridging theoretical SLAM frameworks with practical, real-world deployment, making him a key figure in next-generation autonomous navigation technology.
Research Focus
Key Achievements
Top Papers
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