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, CVPR, GPS Solutions and so on. My highlighted projects include 🔥M2DGR, 🔥Ground-Fusion, 🔥DAF, 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

06.2024 DAF is accepted to IROS2024! Details below.
03.2024 Ground-Fusion is accepted to ICRA2024! Details below.
03.2024 EN-SLAM is accepted to CVPR2024! Details below.
03.2024 A paper is accepted to GPS Solutions! Details below.
08.2023 M2C-GVIO is accepted to Satellite Navigation! Details below.
06.2023 I won the HKU Summer Research Programme Scholarship!
12.2021 M2DGR is accepted to RAL and ICRA2022! Details below.

🚩 Research Highlights

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 | 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

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

Conference reviewer for ICRA(2023, 2024, 2025) and IROS (2023, 2024) .
Transaction reviewer for IEEE RA-L(2022, 2023, 2024),IEEE TRO(2024) and IEEE TASE(2024).

Honors

HKU Summer Research Programme (SRP) Scholarship 2023
Academic Scholarship (2018, 2020, 2022, 2023) in SJTU
Third Prize in National English Competition for College Students(NECCS) 2018

Teaching

Teaching assistant for Undergraduate course - Visual Localization & Perception (EE382) in SJTU.
Course tutor on SLAM in CVLIFE (https://cvlife.net/).

Yin Jie