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
Larry Matthies' Picture
Address:
Jet Propulsion Laboratory
M/S 198-235
4800 Oak Grove Drive
Pasadena, CA 91109
Phone:
818.354.3722
Fax:
818.393.5007
Email:
Click here
Member of:
347H
Computer Vision Group
Larry Matthies
Group Supervisor, Senior Research Scientist
(Short description>>)

Larry Matthies is a Senior Research Scientist at JPL and is the Supervisor of the Computer Vision Group (3474) in the Mobility and Robotic Systems Section. His also an Adjunct Professor in Computer Science at the University of Southern California and is a member of the editorial boards for the Autonomous Robots journal and the Journal of Field Robotics.

Ph.D. in Computer Science, 1989, Carnegie Mellon University
M.Math. in Computer Science, 1981, University of Waterloo
B.Sc. in Computer Science, 1979, University of Regina

Senior Research Scientist since 2001
Principal Member of Technical Staff since 1999
Group Supervisor since 1997
Principal investigator, New Millennium ST9 Concept Study Phase, "Descent Image Navigation and Hazard Detection"
Principal investigator/task manager of numerous research tasks in computer vision funded by NASA, DARPA, U.S. Army, and other sponsors since 1992
Participated in development of vision systems for Mars Exploration Rover and Mars Pathfinder missions

Flight Project and Research Task Involvement

Research Tasks:
Enhancements for Stereo Obstacle Detection
Human Detection
Learning Perception for Autonomous Navigation
Micro Autonomous Systems and Technology (MAST)
Micro Autonomous Systems Collaborative Technology Alliance (MAST CTA)
Multi-modal Image Registration and Mapping
Perception System Design for FCS ANS
Robotic Reconnaissance Systems – Micro Air Vehicles
Robotics Collaborative Technology Alliance (RCTA)
Urbie: Urban Robot
Vision System for Autonomous Helicopter
Visual Navigation of a Small Rotorcraft
Water Detection


Perception systems for autonomous navigation of robotic vehicls of all kinds. Perception interests include 3-D sensing, visual motion estimation, obstacle detection, terrain classification using multispectral active and passive sensors and texture analysis, and custom hardware implementations of real-time vision systems.

2008 IEEE Robotics and Automation Award
2007 NASA Exceptional Achievement Medal
Finalist, best student paper, Robotics Science and Systems conference, lead author: A. Angelova, "Dimensionality reduction using automatic supervision for vision-based terrain learning"
2006 Best Paper Award, Robotics Society of Japan, for "Slip-compensated path following for planetary exploration rovers", Advanced Robotics, vol. 20, no. 11, 2006. D.M. Helmick, S.I. Roumeliotis, Y. Cheng, D.S. Clouse, M. Bajracharya, L.H. Matthies
2006 John I. Davidson Presidents Award for Practical Papers (First Place), American Society for Photogrammetry and Remote Sensing, for "Initial results of rover localization and topographic mapping for the 2003 Mars Exploration Rover Mission", R. Li et al.
Finalist, best vision paper, IEEE International Conference on Robotics and Automation, lead author: A. Stein, "Attenuating stereo pixel-locking via affine window adaptation"

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