Michael Paton

Ph.D. Student (Autonomous Space Robotics Lab, UTIAS)
M.S. (Computer Science, GMU)
B.S. (Computer Science, GMU)

Institute for Aerospace Studies
University of Toronto
4925 Dufferin Street, Room 189
Toronto, ON M3H 5T6 Canada
mpaton[at] robotics.utias.utoronto.ca

MJP

Research

My primary research goals are in the topic of long-term autonomy with respect to vision-based path-following algorithms. Current state-of-the-art techniques are not sufficient in unstructured, outdoor envionments over long time periods. I am interested in pushing the limit of these algorithms as the appearance of the scene changes over a timescale of years due to factors such as weather and seasonal changes.

Education

  • Ph.D. Student, Aerospace Engineering, University of Toronto, 2013 - present
  • M.S., Computer Science, George Mason University, 2012
  • B.S., Computer Science, George Mason University, 2007

Publications

Conference Papers

  1. Paton M, Pomerleau F, and Barfoot T D. “In the Dead of Winter: Challenging Vision-Based Path Following in Extreme Conditions”. In Proceedings of Field and Service Robotics (FSR), to appear. Toronto, Canada, 24-26 June 2015.

  2. MacTavish K, Paton M, and Barfoot T D. “Beyond a Shadow of a Doubt: Place Recognition with Colour-Constant Images”. In Proceedings of Field and Service Robotics (FSR), to appear. Toronto, Canada, 24-26 June 2015.

  3. Paton M, Pomerleau F, and Barfoot T D. “Eyes in the Back of Your Head: Robust Visual Teach and Repeat Through Multiple Stereo Cameras”. In Proceedings of the 12th Conference on Computer and Robot Vision (CRV), to appear. Halifax, Canada, 3-5 June 2015.

  4. Paton M, MacTavish K, Ostafew C J, and Barfoot T D. “It’s Not Easy Seeing Green: Lighting-Resistant Stereo Visual Teach and Repeat Using Color-Constant Images”. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), to appear. Seattle, Washington, 26-30 May 2015

  5. Paton M, Kosecka, J. “Adaptive RGB-D Localization”. In Proceedings of the 9th Conference on Computer and Robot Vision (CRV). Toronto, Canada, 27-30 May 2012.