I’m a research engineer on robotics and embodied AI. My current research interests include Robotic learning, Embodied AI and Multi-sensor Fusion. I graduated from Shanghai Jiao Tong University(上海交通大学, THE 43, QS 45, ARWU 46) with a bachelor degree in 2021 and with a master of science degree in 2024.

Previously, I used to research at MIT-IBM Watson Lab, HKU Mars Lab, Tencent Robotics X Lab, Shanghai AI Lab and Shanghai Beidou Research Institute.

My work have been accepted to top conferences/transactions on robotics/navigation such as ICRA, IROS, RAL, TRO, CVPR, GPS Solutions and so on. My highlighted projects include 🔥M2DGR, 🔥Ground-Fusion, 🔥DAF, LIGO, EN-SLAM,Ground-Challenge, Sky-GVINS and so on, as detailed below. Furthermore, I’m also an active open-source contributor, receiving over 2k github stars from Github and over 160k views from my technical blogs on CSDN.

💬 If you are interested in reinforcement learning or embodied AI, welcom to mail me at robot_yinjie@outlook.com

News

🚩 Research Highlights

LIGO: A Tightly Coupled LiDAR-Inertial-GNSS Odometry Based on a Hierarchy Fusion Framework for Global Localization With Real-Time Mapping Dongjiao He, Haotian Li, Jie Yin TRO 2025 [ Paper | BibTex | Code ]

Disentangled Acoustic Fields For Multimodal Physical Scene Understanding Jie Yin, Andrew Luo, Yilun Du, Anoop Cherian, Tim K Marks, Jonathan Le Roux, Chuang Gan IROS 2024 [ Paper | Video | Preprint | BibTex | Project page ]

Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases Jie Yin, Lan Li, Wei Xi, Wenxian Yu, Danping Zou ICRA 2024 [ Paper | Video | Preprint | BibTex | Talk video | Project page | Code ]

Implicit Event-RGBD Neural SLAM (CVPR Highlight) Delin Qu, Chi Yan, Dong Wang, Jie Yin, Dan Xu, Bin Zhao, Xuelong Li CVPR 2024 [ Paper | Preprint | BibTex | Project page | Code ]

Innovation-based Kalman filter fault detection and exclusion method against all-source faults for tightly coupled GNSS/INS/Vision integration Haitao Jiang, Dayu Yan, Jiale Wang, Jie Yin GPS Solutions (JCR Q1) 2024 [ Paper | BibTex ]

Sky-GVINS: a Sky-segmentation Aided GNSS-Visual-Inertial System for Robust Navigation in Urban Canyons Jie Yin, Tao Li, Hao Yin, Wenxian Yu, Danping Zou Geo-spatial Information Science (JCR Q1) 2023 [ Paper | Preprint | BibTex | Project page ]

M2C-GVIO: motion manifold constraint aided GNSS-visual-inertial odometry for ground vehicles Tong Hua, Ling Pei, Tao Li, Jie Yin, Guoqing Liu, Wenxian Yu Satellite Navigation (JCR Q1) 2023 [ Paper | BibTex ]

Ground-Challenge: A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots Jie Yin, Hao Yin, Conghui Liang, and Zhengyou Zhang ROBIO 2023 [ Paper | Preprint | BibTex | Code ]

M2DGR: A Multi-Sensor and Multi-Scenario SLAM Dataset for Ground Robots Jie Yin, Au Li, Tao Li, Wenxian Yu, Danping Zou IEEE Robotics and Automation Letters 2021 [ Paper | Preprint | BibTex | Talk video | Code ]

⭐️ Projects

Design, Sensing and Control of Service Robotic System for Intelligent Navigation and Operation in Internet Data Centers (Reddot Design Award2022) Jie Yin, Conghui Liang, Xiong Li, Qiwei Xu, Haitao Wang, Tingxiang Fan, Zida Wu, Zhengyou Zhang IEEE CASE 2023 [ Paper | Video | BibTex ]

A GNSS-Visual-IMU benchmark Dataset for SLAM Jie Yin, Tong Hua Github 2022 [ | Code ]

Academic Service

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