Published several papers, such as 'CLFT: Camera-Lidar Fusion Transformer for Semantic Segmentation in Autonomous Driving,' and participated in multiple related projects.
Research Experience
Postdoctoral research focuses on multi-module traffic event detection using various technologies. Doctoral research covered multi-modal training datasets and generic dataset collection frameworks, as well as deep-learning-based sensor fusion for traffic object segmentation. Other research experience includes SLAM, mobile robotics, and computer vision.
Education
Received his Ph.D. from Tallinn University of Technology in November 2024; M.S. degree in Engineering with robotics and Computer Engineering specialization from the University of Tartu in 2020; B.E. degree from the University of Shanghai for Science and Technology in 2017.
Background
Currently a postdoc at the University of Gothenburg. Research interests include multi-module traffic event detection, sensor fusion, optical flow, and time series modeling. His doctoral research focused on sensory perception and datasets for autonomous systems.
Miscellany
Teaching and supervision experience is in the practical engineering of robotics, focusing on ROS and Autoware. Received scholarships including Dora Plus program scholarships for Master’s studies at the University of Tartu, Estonia, full tuition waiver, and an achievement scholarship for the 2018-2019 academic year.