Ted Ding

Research project title: 
Towards Comprehensive and Robust Vehicular Visual Perception in Foggy Weather
Principal goal for project: 
Given a sequence of stereo images recorded by a moving vehicle - to reliably characterise fog parameters, - to accurately estimate dense depth - to effectively enhance intensity image
Research project: 

Fog reduces visibility and poses threats to human drivers as well as current advanced driver assistance systems. This project aims to improve vehicular visual perception in fog. More concretely, given a sequence of stereo images, we would like to achieve simultaneous defogging and stereo reconstruction of the obscured scene, and to characterise important fog parameters such as the visibility. The success of this project will not only aid human drivers to see better through fog, but also promote safety for both partially and fully autonomous vehicles when travelling through fog. Publications:

  • Y. Ding, A. M. Wallace, S. Wang, 'Estimating fog parameters from an image sequence using non-linear optimisation', in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
  • Y. Ding, A. M. Wallace, S. Wang, 'Variational simultaneous stereo matching and defogging in low visibility', in British Machine Vision Conference (BMVC), 2022.
About me: 

My name is Yining (Ted) Ding and I am a final-year PhD student in EPSRC Centre for Doctoral Training in Robotics and Autonomous Systems (CDT-RAS) programme, hosted at the Edinburgh Centre for Robotics and jointly offered by Heriot-Watt University and the University of Edinburgh. I am co-supervised by Dr. Sen Wang (Imperial College London) and Emeritus Prof. Andrew Wallace (Heriot-Watt University). My research aims to improve vehicular visual perception in challenging foggy weather with low visibility. I have broad interests in signal processing and computer vision, using techniques including optimisation and deep learning. I obtained my BEng (First Class Hons) in Electronics and Electrical Engineering from the University of Edinburgh in 2013, and MSc (Merit) in Communications and Signal Processing from Imperial College London in 2014. Before starting my PhD study in 2020, I worked as a senior design/development engineer at Renishaw plc, where I was actively involved in designing and developing signal processing algorithms for the Renishaw RUP1 ultrasonic probe which was successfully launched in 2021, Together with my ex-colleagues, I co-invented the following two patents.

  • L. D. Hall, Y. Ding, 'Method of calibrating an ultrasound probe and corresponding inspection apparatus and method', EP3931526B1, filed 17 February 2020, granted and published 30 August 2023.
  • D. J. Wilson, R. N. Hand, Y. Ding, 'Ultrasound method and apparatus', WO2023052757A1, filed 28 September 2022, published 06 April 2023.
Student type: 
Current student