Ronald Clark
Ronnie Clark
PhD Student in Mobile Perception Systems
Department of Computer Science
University of Oxford
Email: ronald.clark{at}cs.ox.ac.uk; ron.clark{at}live.com
LinkedIn,Twitter

About me

I am joining the Dyson Robotics Lab at Imperial College London headed by Andrew Davison and Stefan Leutenegger as a research fellow. I did my PhD research at the University of Oxford Department of Computer Science. My current research interests are in mobile perception including robust 3D reconstruction on mobile devices [1], ego-motion estimation [3,4] and localization [2,5,6] using learning-based methods. I also have a keen interest in computer graphics and animation. In the past I have worked on machine learning for natural user interaction [8,9] and optimal systems design [7]. I got my MSc degree in Information Engineering from the University of Witwatersrand, South Africa, at the non-linear systems and control group in 2014.
 

New Updates

  • March, 2017: Talk at the ORI/AIMS Mobile Autonomy Workshop.
  • Feb, 2017: One paper accepted at CVPR, 2017.
  • Feb, 2017: Meeting with the Tango team at Google, Mountain View!
  • 15th Jan, 2017: One paper is accepted at the IEEE International Conference on Robotics and Automation (ICRA), 2017.
  • Dec, 2016: Looking forward to visiting Microsoft Research next month to demo our localization technology.
  • 28th Nov, 2016: Demo video of visual-inertial tracking available online [video]
  • Nov, 2016: One paper is accepted at the 31st AAAI Conference on Artificial Intelligence (AAAI), 2016.
  • August, 2016: One paper is accepted at the IEEE-RAS Humanoid Robots (Humanoids), 2016.
  • 30th July, 2016: One paper is accepted at the IEEE/RSJ Intelligent Robots and Systems (IROS), 2016.

Publications

optimization-robotics-computer vision
A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization
Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'17) [pdf,bibtex]
optimization-robotics-computer vision
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem
Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni
The 31st AAAI Conference on Artificial Intelligence (AAAI). [Project,pdf,bibtex]
optimization-robotics-computer vision
DeepVO: Towards End-to-End Visual Odometry with Recurrent Convolutional Networks
Sen Wang, Ronald Clark, Hongkai Wen, Niki Trigoni
To appear at IEEE International Conference on Robotics and Automation (ICRA), 2017. [pdf]
optimization-robotics-computer vision
Large Scale Indoor Keyframe-based Localization using Geomagnetic Field and Motion Pattern
Sen Wang, Hongkai Wen, Ronald Clark, Andrew Markham, Niki Trigoni
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016. [pdf,bibtex]
optimization-robotics-computer vision
Increasing the Efficiency of 6-DoF Visual Localization Using Multi-Modal Sensory Data
Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni
IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2016. [pdf,bibtex]
optimization-robotics-computer vision
Pushing the Limits of Indoor 3D Modelling using Mobile Sensing
Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni
submitted to IEEE Trans. on Mobile Computing (TMC), 2016. [pdf]
optimization-robotics-computer vision
Robust Vision-based Indoor Localization
Ronald Clark, Andrew Markham, Niki Trigoni
IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2015. [pdf,bibtex]
optimization-intelligent-system
Optimization of a Hybrid Energy System through Fast Convex Programming
Ronald Clark,W.A. Cronje, Anton van Wyk
IEEE International Conference on Intelligent Systems Modelling and Simulation (ISMS), 2014. (Best paper nominee 14/103) [pdf,bibtex]
optimization-robotics-computer vision
System for the Recognition of Handwritten Mathematical Expressions
Ronald Clark,Quik Kung, Anton van Wyk
IEEE International Conference on Computer as a Tool (EUROCON), 2013. (Nominated for SPC) [pdf,bibtex]
classifier-support-vector-regression
Recognising Handwritten Mathematical expressions using an Ensemble of SVM Classifiers
Ronald Clark,Quik Kung, Anton van Wyk
13th Symposium of the Pattern Recognition Association of South Africa (PRASA/IAPR), 2012. [pdf,bibtex]

Code

machine learning, deep learning, svr, slam, 3D reconstruction, artificial intelligence
MATLAB Support Vector Regression code
Ronald Clark
MATLAB FIle Exchange, 2013 [link]. A modiefied version of the code has been

Journal and Conference Review Service

IROS 2017
ICRA 2017
Pattern Recognition Letters

Projects Contributed to

Mobile Robotics: Enabling a Pervasive Technology of the Future (EP/M019918/1)

Description: "Robotics is fast advancing to a point where autonomous systems can add real value to the public domain. The potential reach of mobile robotics in particular is vast, covering sectors as diverse as transport, logistics, space, defence, agriculture and infrastructure management. In order to realise this potential we need our robots to be cheap, work synergistically with people in large, complex and time-changing environments and do so robustly for long periods of time." [link]

Teaching

Computer Animation , University of Oxford, (2014,2015) [course page]
- transformation chains, scene description languages, time-varying transformations, interpolation functions, collision detection, physical response models
ELEN4017 Network Fundamentals , University of Witwatersrand [course page]
- basic routing protocols, dynamic name servers, address resolution, network stack, worl-wide web

Original Theme by: Weilin Huang