Fan Li

Fan Li

M.Sc. in ME

Tongji University, Shanghai

About Myself

Hello, my name is Fan Li (李凡), a master student at Tongji University, welcome to my website! Right now I major in Mechatronic Engineering. My current research interests mainly focus on the perception and motion planning supervised by Dr. Xiaotian Li and Prof. Anlin Wang.

Prior to this, I graduated from Tongji University in Shanghai, China in 2021 with a bachelor’s degree in mechanical engineering (Mechatronics), and seized the award of Excellent Graduates in Shanghai. During my undergraduate studies, I mainly focused on drone visual tracking under the supervision of Prof. Changhong Fu in Vision4Robotics Group. My bachelor’s thesis is about motion planning for excavator robots supervised by Dr. Xiaotian Li. Besides, I am closely working with Prof. Peng Lu from ArcLab @ HKU.

Interests

  • Motion Planning
  • Artificial Intelligence
  • Machine Learning

Education

  • M.Sc. in Mechanical Engineering, 09.2021-03.2024

    Tongji University

  • Exchange study in Robotics, 09.2022-02.2023

    École Polytechnique Fédérale de Lausanne (EPFL)

  • B.Eng. in Mechanical Engineering, 09.2016-08.2021

    Tongji University

Publications

Training-Set Distillation for Real-Time UAV Object Tracking

Correlation filter (CF) has recently exhibited promising performance in visual object tracking for unmanned aerial vehicle (UAV). Such …
Fan Li, Changhong Fu, Fuling Lin, Yiming Li, Peng Lu
Project pdf code video
Training-Set Distillation for Real-Time UAV Object Tracking

Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking

Correlation filter (CF)-based methods have demonstrated exceptional performance in visual object tracking for unmanned aerial …
Changhong Fu, Xiaoxiao Yang, Fan Li, Juntao Xu, Changjing Liu, Peng Lu
Project pdf code video
Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking

ReCF: Exploiting Response Reasoning for Correlation Filters in Real-Time UAV Tracking

Object tracking is a fundamental task for the visual perception system on the intelligent unmanned aerial vehicle (UAV). The high …
Fuling Lin, Changhong Fu, Yujie He, Weijiang Xiong, Fan Li
Project pdf code video
ReCF: Exploiting Response Reasoning for Correlation Filters in Real-Time UAV Tracking

Experience

 
 
 
 
 

Research Assistant

LASA lab at EPFL

Sep 2022 – Feb 2023 EPFL, Switzerland
Obstacle-avoiding throwing for a 7-D manipulator, kinodynamic motion planning.
 
 
 
 
 

Sensor Fusion R&D Intern

Bosch

Oct 2021 – Jul 2022 Bosch, Shanghai
V2X sensor fusion for autonomous driving, road-side perception, foreground segmentation, traffic information simulation, deep learning.
 
 
 
 
 

Perception Algorithm R&D Intern

Hesai Technology

Jul 2020 – Aug 2020 Hesai Technology, Shanghai
Point cloud-based object detection for autonomous driving, deep learning.
 
 
 
 
 

Powertrain & Driverless member

DIAN Racing at Tongji University

Mar 2019 – May 2020 Tongji University, Shanghai
Mathematical simulation for motor control, vehicle simulation using Simscape.
 
 
 
 
 

Research Assistant

Vision4Robotics Group at Tongji University

Nov 2018 – Oct 2020 Tongji University, Shanghai
Intelligent vision for UAV, visual object tracking, machine learning.

Projects

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All Motion Planning Perception Other

Kinodynamic motion planning for safe manipulator throwing

Researching obstacle-avoiding kinodynamic planning for a 7-D manipulator.

Road-side Foreground segmentation

Researching road-side foreground segmentation for autonomous driving.

Motion Planning for Excavator

Implementing motion planner for excavator and constructing simulation environment.

Violence Detection

Identifying violent individuals based on deep learning.
Video

51 Robot With PS2 Controller

A mini project about embedded system.
Code

Online Visual Object Tracking for UAV

Researching visual object tracking.

Point Cloud Object Detection

Researching point cloud-based object detection for autonomous driving.

DIAN Racing Formula Student Electric Team

Simulation for motor control and vehicle.
Video

Contact