Follow this link to skip to the main content
  NASA Logo
Jet Propulsion Laboratory
California Institute of Technology
+ View the NASA Portal
Search JPL
JPL Home Earth Solar System Stars and Galaxies Technology
JPL Robotics
Search Robotics
 
Home Page
Applications
Projects
Tasks
Groups
People
Systems
Facilities
Publications
Patents
Awards
News
Image Gallery
Video Gallery
Charter
Links
 
Personal Page Publications Image Gallery Videos
Reg Willson's Picture
Address:
Jet Propulsion Laboratory
M/S 306-392
4800 Oak Grove Drive
Pasadena, CA 91109
Phone:
818.393.6165
Fax:
818.393.3290
Email:
Click here
Member of:
Other JPL Robotics Personnel
Reg Willson
Member of Technical Staff
(Full description>>)

Biography (more>>)
Reg Willson is a systems engineer in the Instruments and Science Data Systems Division at NASAs Jet Propulsion Laboratory. His prior assignments include serving as instrument engineer for the Mars Science Laboratory (MSL) Mastcam, MAHLI and MARDI science cameras and Alpha Particle X-ray Spectrometer (APXS), and as hardware lead for the Mars Exploration Rover (MER) Descent Image Motion Estimation System (DIMES) camera.
Dr. Willson received his bachelors degree in electrical engineering from the University of Waterloo, and his masters and PhD degrees in electrical and computer engineering from Carnegie-Mellon University.

Education (more>>)
Ph.D. Electrical and Computer Engineering, Carnegie Mellon University
M.S. Electrical and Computer Engineering, Carnegie Mellon University
B.A.Sc. Electrical Engineering (Computer Engineering option), University of Waterloo

Research Interests (more>>)
Camera modeling and calibration, computer vision and electronic imaging.

Selected Publications (more>>)

A. Johnson, R. Willson, Y. Cheng, J. Goguen, C. Leger, M. San Martin and L. Matthies, "Design Through Operation of an Image-Based Velocity Estimation System for Mars Landing," International Journal of Computer Vision, Volume 74, Number 3, September 2007, 319-341.

R. Willson, M. Maimone, A. Johnson and L. Scherr, "An Optical Model for Image Artifacts Produced by Dust Particles on Lenses," 8th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS), September 2005.

R. Willson, A. Johnson and J. Goguen, "MOC2DIMES: A Camera Simulator for the Mars Exploration Rover Descent Image Motion Estimation System," 8th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS), September 2005.

Privacy/Copyright Image Policy Glossary Sitemap Feedback Contact Us
  National Aeronautics and Space Administration website.