田翰林

田翰林

Doctoral Researcher at Imperial College London

Imperial College London, TSL lab

Biography

Hanlin (Zach) Tian is a Doctoral Researcher at Imperial College London, focusing on Autonomous Vehicles, Computer Vision, and Large Language Models. Supervisors: Dr. Panagiotis Angeloudis, Professor Yiannis Demiris, and Professor Mohammed Quddus. With a background in Computer Science and Engineering, Hanlin is committed to driving innovation in transportation through advanced research and technology.

Interests
  • Autonomous Vehicle
  • Computer Vision
  • Large Language Models
Education
  • PhD in TSL lab, 2022

    Imperial College London

  • Master of Science in Computer Engineering, 2019

    New York University

  • BSc in Computer Science, 2015

    Shandong University

Experience

 
 
 
 
 
Research Intern
dRisk
June 2023 – September 2023 London, UK
 
 
 
 
 
Research Assistant
Zhejiang University
October 2022 – January 2023 Zhejiang, China
 
 
 
 
 
Research Assistant
New York University
August 2020 – July 2021 NY, USA
 
 
 
 
 
Software Development Engineer
Chinese Academy of Science
February 2019 – July 2019 Zhejiang, China
 
 
 
 
 
Summer Research Assistant
Washington University in St. Louis
July 2018 – September 2018 St. Louis, USA

Recent Publications

Quickly discover relevant content by filtering publications.
(2024). Large (Vision) Language Models for Autonomous Vehicles: Current Trends and Future Directions. Submitted to T-ITS.

Download PDF

(2024). Multimodal Learning for Traffic Risk Prediction: Combining Aerial Imagery with Contextual Data. Submitted to OJ-ITS.

Download PDF

(2023). Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation. Arxiv.

Arxiv

(2023). The Impact of Building-Induced Visibility Restrictions on Intersection Accidents. In TRBAM 2024.

Download PDF

(2023). An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios. In ITSC 2023.