Yuantao Chen(陈远韬)

Yuantao Chen is currently a Mphil student at the The Chinese University of Hong Kong(ShenZhen), supervised by Prof. Xiaoguang Han. His research interests include 3D computer vision and robotics.

Previously, he was a Research Intern at the DISCOVER Lab, Institute for AI Industry Research, Tsinghua University. He obtained his B.Sc. degree in Computer Science and Technology from Xi'an University of Architecture and Technology.

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Research

I am interested in 3D computer vision and robotics, specifically on topics such as localization and mapping, neural scene representations, robot simulation and self-driving.

MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
Zirui Wu, Tianyu Liu, Liyi Luo, Zhide Zhong, Jianteng Chen, Hongmin Xiao, Chao Hou, Haozhe Lou, Yuantao Chen, Runyi Yang, Yuxin Huang, Xiaoyu Ye, Zike Yan, Yongliang Shi, Yiyi Liao, and Hao Zhao

CICAI, 2023 (Oral)
project page / arxiv

We propose an autonomous driving simulator based upon neural radiance fields (NeRFs)



AsyncNeRF: Learning Large-scale Radiance Fields from Asynchronous RGB-D Sequences with Time-Pose Function
Zirui Wu*, Yuantao Chen*, Runyi Yang, Zhenxin Zhu, Chao Hou, Yongliang Shi†, Hao Zhao, Zhou Guyue

arxiv, 2023
arxiv /

We propose the first solution for NeRF that self-calibrates the mismatch between RGB and depth frames



LATITUDE: Robotic Global Localization with Truncated Dynamic Low-pass Filter in City-scale NeRF
Zhenxin Zhu*, Yuantao Chen*, Zirui Wu, Chao Hou, Yongliang Shi1†, Chuxuan Li, Pengfei Li, Hao Zhao, Guyue Zhou

ICRA, 2023
arxiv / ICRA

We propose a two-stage localization mechanism consists of place recognition and pose optimization in city-scale NeRF


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Last updated: 20 Aug 2023