Dr Kyle Nelson
|Position:||Research Fellow In Robotics Modelling And Simulation|
|Faculty or Division:||Inst Intelligent Sys Res & Inn|
|Department:||Inst Intelligent Sys Res & Inn|
|Campus:||Geelong Waurn Ponds Campus|
|Phone:||+61 3 522 72029 +61 3 522 72029|
Kyle Nelson received the B.Eng. (hons.) degree in Mechatronics and Robotics in 2009, and the Ph.D. degree in computer vision/image processing in 2013 from Deakin University, Australia, where he attended as a Dean’s Scholar and was a recipient of both the Alfred Deakin Medal and Vice-Chancellor’s Prize. His PhD research focused on the image enhancement technique of super-resolution and combining this concept with ideas from the field of multi-view geometry to produce high-resolution images of 3-dimensional scenes. Currently a research fellow with the Institute for Intelligent Systems Research and Innovation (IISRI) at Deakin University, Kyle is actively involved in robot-based motion simulation, computer vision and image processing research. Kyle has worked on a number of industry-linked robotics projects including the design and development of a vision-based measurement system for Boeing Research & Technology Australia.
- Bachelor of Engineering, Deakin University, 2010
- Doctor of Philosophy, Deakin University, 2014
2013-present – Research Fellow in Robotics, Modelling and Simulation at the Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University
2010-2013 – PhD Researcher at the Centre for Intelligent Systems Research, Deakin University
2010-2012 – Tutor at Deakin University
2008-2009 – Electrical Draftsman at Insight Engineering, Geelong
Subjects and units currently teaching
As a tutor, marker and content author, I have been involved with the following units:
SEE215 - Microprocessor Principles
SEE320 - Microcontroller System Design
SEM433 - Mechatronic Design
HMO101 - Introduction to Optics
- Computer Vision
- Image Processing
- Software Engineering
- Microcontroller Applications
Awards and prizes
2009 - Deakin University, Alfred Deakin Medal
2009 - Deakin University, Vice-Chancellor's Prize
2009 - Deakin University, Faculty of Science and Technology, David Stokes Award
2009 - Deakin University, Faculty of Science and Technology, Engineers Australia Award
2009 - Deakin University, Faculty of Science and Technology, Godfrey Hirst Australia Award
2008 - Deakin University, Faculty of Science and Technology, GM Holden Award
2008 - Deakin University, Faculty of Science and Technology, Industrial Control Technology Award
2008 - Deakin University, Faculty of Science and Technology, School of Engineering Honours Scholarship
2007 - Deakin University, Faculty of Science and Technology, Alcoa World Alumina Australia Award
2007 - Deakin University, Gordon Council Scholarship
2006 - Deakin University, Dean’s Scholar for the Faculty of Science and Technology, School of Engineering and Information Technology
The topic of my PhD research was 'Super-resolution of 3-dimensional scenes'
Drawing on ideas from super-resolution and multi-view geometry this thesis developed a complete 3D super-resolution pipeline including intelligent frame selection, optimal viewpoint selection and robust inverse tensor transfer for novel view synthesis, culminating in method for multi-view super-resolution which demonstrates that it is possible to extend super-resolution concepts from two dimensions to the 3D domain and create spatially enhanced views of 3-dimensional scenes.
- Computer Vision
- Image Processing
- Image Resolution Enhancement
- Multi-view Geometry
- Novel View Synthesis
- Image-based Rendering
- Scene Reconstruction
- Viewpoint Selection
- Frame Selection
- Networked Vision Systems
- Robot-based Motion Simulation
N. Mohajer, H. Abdi, K. Nelson, and S. Nahavandi, “Vehicle Motion Simulators, a Key Step towards Road Vehicle Dynamics Improvement”, Vehicle System Dynamics, pp. 1-23, 2015.
K. Nelson, A. Bhatti, and S. Nahavandi, “Super-resolution of a 3-dimensional Scene from Novel Viewpoints”, in Proceedings of the International Conference on Control, Automation, Robotics and Vision (ICARCV), Guangzhou, China, 5-7 December 2012.
H. Asadi, S. Mohamed, K. Nelson, S. Nahavandi, D. Rahim, “Human Perception-based Washout Filtering using Genetic Algorithm”, Proceedings of the International Conference on Neural Information Processing (ICONIP), Istanbul, Turkey, 9-12 November 2015.
A. Mohammadi, H. Asadi, S. Mohamed, K. Nelson, S. Nahavandi, "MPC-based Motion Cueing Algorithm with Short Prediction Horizon using Exponential Weighting", 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, Hungary, 9-12 October 2016, accepted for publication.
M. Hossny, S. Mohamed, S. Nahavandi, K. Nelson, M. Hossny, "Driver Behaviour Analysis Using Topological Features", 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, Hungary, 9-12 October 2016, accepted for publication.
H. Asadi, S. Mohamed, K. Nelson, S. Nahavandi and M. Oladazimi, “An optimal washout filter based on genetic algorithm compensators for improving simulator driver perception”, Proceedings of the Driving Simulation Conference & Exhibition (DSC 2015 Europe), Tübingen, Germany, 16-18 September 2015.
H. Asadi, A. Mohammadi, S. Mohamed, K. Nelson, D. Nahavandi, A. Khosravi, S. Nahavandi, D. Rahim, “Washout Filtering based on Adaptive Fuzzy Logic for Increasing Driving Simulator Motion Fidelity”, Driving Simulation Conference & Exhibition (DSC 2016 Europe), Paris, France, 7-9 September 2016, accepted for publication.
K. Nelson, A. Bhatti, and S. Nahavandi, “Performance Evaluation of Multi-frame Super-resolution Algorithms”, in Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA), Fremantle, Australia, 3-5 December 2012.
K. Nelson, T. Black, D. Creighton, and S. Nahavandi, “A Simulation-Based Control Interface Layer for a High-Fidelity Anthropomorphic Training Simulator”, in Proceedings of the Interservice/Industry Training, Simulation & Education Conference (I/ITSEC), Orlando, USA, 2010.
H. Asadi, S. Mohamed, K. Nelson and S. Nahavandi, “A Linear Quadratic Optimal Cueing Motion Algorithm Based on Human Perception”, in Proceedings of the Australasian Conference on Robotics and Automation (ACRA), Melbourne, Australia, 2-4 December 2014.