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Daniel Clouse's Picture
Address:
Jet Propulsion Laboratory
M/S 125-209
4800 Oak Grove Drive
Pasadena, CA 91109
Phone:
818.354.1157
Fax:
818.393.0879
Email:
Member of:
347J
Maritime and Aerial Perception Systems Group

Daniel Clouse
Member of Technical Staff
(Full description>>)

Biography (more>>)

FY99-01

  • Mars Sample Return
  • Vigilante - Hardware correlator

    FY02-03

  • LAMP (Laser Mapper) - LIDAR

    FY04-08

  • CLARAty - Robotics software architecture

    FY04

  • Driving on Slopes - Rover Navigation

    FY04

  • Cellerator Bio Modelling - Java GUI

    FY05

  • JADE Automated Target Recognition - Sys. Developement & Testing Task Mgr.
  • SCAIP Instrument Placement

    FY06-09

  • Aerobot - Autonomous Airship

    FY06

  • Rover Navigation Validation

    FY07

  • High Fidelity Traversibility Analysis

    FY07-09

  • Angelfire - Persistent Surveillance

    FY08

  • AEGSE - MSL motor controllers
  • Education (more>>)
    1982 BA Computer Science, UC Berkeley
    1992 MS Computer Science, UC San Diego
    1992 PhD Cognitive Science & Computer Science, UC San Diego

    Professional Experience (more>>)
    1982-92 NCR Corp. Systems Engineering, San Diego.
    Principal Programmer/Analyst
    Programming Languages Dept.

    1992-99 UC San Diego, CSE Dept.
    Various Research/Teaching Assistentships, Lecturer

    1999-now Jet Propulsion Lab
    Machine Vision Group
    Senior Member Technical Staff

    Research Interests (more>>)
    Computer Vision
    Machine Learning
    Cognitive Science - word sense disambiguation, language translation

    Selected Publications (more>>)

    D. Clouse, I. Nesnas, C. Kunz, "A Reusable Camera Interface for Rovers," International Conference on Robotics and Automation Workshop - Software development and integration in robotics: understanding robot software architectures. Rome, Italy, 10-14 April 2007.

    D. Clouse, C. Padgett, "Estimating the Position of a Sphere from Range Images," IEEE Aerospace Conference Proceedings, 2002.

    D.S. Clouse, C.W. Padgett, "Small Field-of-View Star Identification using Bayesian Decision Theory," IEEE Transactions on Aerospace and Electronic Systems, Vol. 36, No. 3, July 2000.

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