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Pengcheng Zhu - 朱鹏程 I am a M.Sc. student at Northeastern University, Shenyang, China, supervised by Prof. Yaoming Zhuang. My current research interests focus on AI-based 3D computer vision, Visual SLAM, Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS). Before this, I won 6 national awards in academic competitions during my undergraduate studies and was guaranteed a place in graduate school with distinction. I am the outstanding graduate of Henan Province in 2022. I was also an algorithm intern at Didichuxing, focusing on Autonomous driving. |
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PublicationsNote that some teasers are GIFs, please hover the mouse over to view the animation. |
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MGS-SLAM: Monocular Sparse Tracking and Gaussian Mapping with Depth Smooth Regularization
The work uniquely integrates advanced sparse visual odometry with a dense Gaussian Splatting scene representation for the first time, thereby eliminating the dependency on depth maps typical of Gaussian Splatting-based SLAM systems and enhancing tracking robustness. We have evaluated our system across various synthetic and real-world datasets. The accuracy of our pose estimation surpasses existing methods and achieves state-of-the-art performance. Additionally, it outperforms previous monocular methods in terms of novel view synthesis fidelity. |
Awards
China Robotics and Artificial Intelligence Competition National First Prize in Autonomous Driving, 2019
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Academic Services
Journal Reviewer: RA-L
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Contact
Pengcheng Zhu |
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Last update: 16 Oct 2024 |