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Reg  Willson's Picture
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Member of:
Aerial and Orbital Image Analysis Group

Reg Willson
Member of Technical Staff
(Full description>>)

Biography (more>>)
Reg Willson is a system engineer in the Autonomous Systems Division at NASA’s Jet Propulsion Laboratory. He was the lead system engineer for the Mars 2020 (Perseverance) next generation rover engineering cameras and served as an instrument engineer for the Mars 2020 SuperCam and SHERLOC instruments. On the 2011 Mars Science Laboratory (Curiosity) he was the instrument engineer for the Mastcam, MAHLI and MARDI science cameras and the Alpha Particle X-ray Spectrometer. He was also the hardware lead for the 2003 Mars Exploration Rovers (Spirit and Opportunity) Descent Image Motion Estimation System 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>>)
Robot perception and camera systems engineering, modeling and calibration, and computer vision.

Selected Publications (more>>)

J.N. Maki, D. Gruel, C. McKinney, M.A. Ravine, M. Morales, D. Lee, R. Willson, D. Copley-Woods, M. Valvo, T. Goodsall, J. McGuire, R.G. Sellar, J.A. Schaffner, M.A. Caplinger, J.M. Shamah, A.E. Johnson, H. Ansari, K. Singh, T. Litwin, R. Deen, A. Culver, N. Ruoff, D. Petrizzo, D. Kessler, C. Basset, T. Estlin, F. Alibay, A. Nelessen, S. Algermissen, "The Mars 2020 Engineering Cameras and Microphone on the Perseverance Rover: A Next-Generation Imaging System for Mars Exploration," Space Science Reviews Volume 216 Article 137 (2020), November 24, 2020. (Link)

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.

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