Jin PAN's Academic Website

Jin PAN

jpan AT link DOT cuhk DOT edu DOT hk

About

I am a Principal Researcher collaborated with Peng Su, Xinge Zhu, and previously Prof. Tong Qin in Huawei Intelligent Automotive Solution(IAS) BU,. I obtained my Ph.D. degree in Robotics, Perception & AI Lab (Rπ Lab) in The Electronic Engineering Department at The Chinese University of Hong Kong, supervised by Professor Max Q.-H. Meng (IROS 2005, ICRA 2021 General Chair). I was funded by Hong Kong PhD Fellowship Scheme (HKPFS). Prior to CUHK, I earned my B.Eng. degree from Xi'an Jiaotong University.

My research interests lie in Autonomous Driving, Robotics and SLAM. In 2024, I led flagship features of Huawei ADS Mapless Technology, as well as key focus areas of Huawei's First Commercial L3 Autonomous Driving Solution in 2025. Currently, I lead the Spatial Intelligence team, focusing on the intersection of autonomous driving and embodied AI.

From the perspective of obstacle perception, we aim to construct a world model that covers the physical scenarios of highways, urban areas, rural roads, campuses, off-road terrains, parking garages, buildings and wilderness areas, etc.

!!!We have full-time and interns HC, be free to send me your cv.

News

2025-11 Huawei ADS 4 First Commercial L3 Autonomous Driving in China is released, in which I am an owner for a key area.
2025-07 Two US Patents are accepted, one of which is highlighted as 2025 IAS BU Annual High Value Patent.
2024-10 Two US Patents are accepted, one of which is highlighted as 2024 IAS BU Annual High Value Patent.
2024-04 Two Paper are accepted by IEEE Intelligent Vehicles Symposium, IV 2024.

2D-3D Cross-Modality Network for End-to-End Localization with Probabilistic Supervision

Jin Pan, Xiangru Mu, Tong Qin, Chunjing Xu, and Ming Yang

(IEEE Intelligent Vehicle Symposium, IV 2024)

BLOS-BEV: Navigation Map Enhanced Lane Segmentation Network, Beyond Line of Sight

Hang Wu, Zhenghao Zhang, Siyuan Lin, Tong Qin, Jin Pan, Qiang Zhao, Chunjing Xu, Ming Yang

(IEEE Intelligent Vehicle Symposium, IV 2024)

A Large-Scale Dataset for Benchmarking Elevator Button Segmentation and Character Recognition

Jianbang Liu, Yuqi Fang, Delong Zhu, Nachuan Ma, Jin Pan, Max Q.-H. Meng

(IEEE International Conference on Robotics and Automation, ICRA 2021)

Framework for Airport Trolley Deployment Robot

A Searching Space Constrained Partial to Full Registration Approach with Applications in Airport Trolley Deployment Robot

Jin Pan, Xiaochun Mai, Chaoqun Wang, Zhe Min, Jiankun Wang, Hu Cheng, Tingguang Li, Erli Lyu, Li Liu and Max Q.-H. Meng

(IEEE Sensors Journal 2020)

Follow-up work

https://arxiv.org/pdf/2401.08433

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10971384

Robust and Accurate Point Set Registration with Generalized Bayesian Coherent Point Drift

Ang Zhang, Zhe Min, Jin Pan, Max Q.-H. Meng

(IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021)

Generalized 3D Point Set Registration with Hybrid Mixture Models for Computer-Assisted Orthopaedic Surgery

Zhe Min, Jiaole Wang, Jin Pan, Max Q.-H. Meng

(IEEE Transactions on Automation Science and Engineering, IEEE TASE 2020)

Coarse-to-Fine Visual Object Catching Strategy Applied in Autonomous Airport Baggage Trolley Collection

Chaoqun Wang, Xiaochun Mai, Danny Ho, Tingting Liu, Chenming Li, Jin Pan, Max Q.-H. Meng

(IEEE Sensors Journal 2020)

Multi-view 2D-3D Registration

Multi-View Global 2D-3D Registration Based on Branch and Bound Algorithm

Jin Pan, Zhe Min, Ang Zhang, Han Ma and Max Q.-H. Meng (IEEE International Conference on Robotics and Biomimetics, ROBIO 2019)

Hierarchical Deep Reinforcement Learning Framework

Learning to Interrupt: A Hierarchical Deep Reinforcement Learning Framework for Efficient Exploration

Tingguang Li, Jin Pan, Delong Zhu, Max Q.-H. Meng.

(IEEE International Conference on Robotics and Biomimetics, ROBIO 2018)

Honors

First Runner-up Award in CUHK Professor Charles K. Kao Student Creativity Awards(2019)
Outstanding Students Award of The Chinese University of Hong Kong (1%, 2018)
The 5th/93 place winner among 93 teams at the worldwide ICRA 2017 DJI RoboMaster Manipulation Challenge (2017)
Hong Kong PhD Fellowship Scheme (2020)
National Scholarship (Three times in 2013, 2014, 2015)
First Prize and 1st of XJTU in National Math Contest (2014)

Video

ICRA 2017 DJI RoboMaster Manipulation Challenge in Singapore (Finalist, 5/93)

Organized by DJI and IEEE ICRA, The ground robot challenge examines the application and competence of technologies that include positioning, object grasping, force control, target identification, and system stability. Teams are challenged to develop a lightweight mobile manipulator that can autonomously pick, transport and stack building blocks.

We developed a mobile manipulator which can autonomously detect, pick, transport, and stack the target cubes. In the final competition, we successfully piled up 10 cubes and ranked 5th place from 93 teams all over the world.

Services

Session Chair of International Conference on Robotics and Automation (ICRA) 2021
Reviewer of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020 and 2021, 2022
Reviewer of IEEE International Conference on Robotics and Biomimetics (ROBIO), 2019
Reviewer of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020
Session Chair of IEEE International Conference on Robotics and Biomimetics (ROBIO), 2019
Session Chair of IEEE International Conference on Advanced Robotics (ICAR), 2019
Reviewer of IEEE International Conference on Information and Automation (ICIA), 2018

Teaching

Teaching Assistant: CUHK ELEG 3103, Robotic Perception and Intelligence. (2020 Spring)
Teaching Assistant: CUHK ENGG 2420, Complex Analysis and Differential Equations (2016, 2017, 2018, 2019 fall)
Teaching Assistant: CUHK BMEG 1100, Biomedical lab. (2017, 2019 Spring)
Teaching Assistant: CUHK ENGG 1100, Introduction to Engineering Design. (2018 Spring)

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