Curtis Padgett the Supervisor for the Maritime and Aerial Perception Systems Group. He completed his doctoral work in pattern recognition while working at JPL. His interests include computer vision, structure from motion, automated calibration, pattern classification, star identification and machine learning.

Ph.D. Computer Science, University California, San Diego 1997
M.S. Computer Science, University California, San Diego 1993
B.S. The Evergreen State College Olympia, WA 1991

JPL Principal Investigator- Anti-Submarine Warfare Continuous Trail Unmanned Vessel (September 2012-current):
This task will apply JPL robotic control and planning technology to support a long duration robotic mission for an unmanned surface vehicle with the capability to track submarines.

JPL Principal Investigator- Autonomous Aerial Cargo/Utility System (September 2012-current):
This task will apply image processing and hazard classification algorithms to understand landing site uncertainty for a vertical takeoff and landing system.

Principal Investigator- BlueDevil (April 2012-current):
This task is a continuation of JPL image processing for wide area surveillance activities. In particular, this task will provide flight code for onboard gyro calibration for an image array and a step stare system. We will integrate an EKF to improve geo-registration capabilities.

Principal Investigator- Aerial Processing for AV(September 2011-2012)

Task Manager and Co-Investigator- SRTD: Exploitation of Aerial Imagery (September 2010-current):
This task is a 3 year effort to improve JPL capabilities in exploitation of aerial imagery.

Principal Investigator- 3D Structure from ScanEagle Imagery (July 2010-2012)

Principal Investigator- JPL Angel Fire Project (July 2006-April 2012)

Pattern Recognition
Advanced Computing Systems
Machine Vision