Machine Learning Systems
Photo of David Thompson

Dr. David Thompson

Mail Stop 306-463
4800 Oak Grove Drive
Pasadena, CA 91109

Office: 306-373
Phone: (818) 354-2200
FAX: (818) 393-6141
Email: David.R.Thompson@jpl.nasa.gov
Web page: http://www.davidraythompson.com [External link]
Research interests
and projects:
Computer vision, including natural image analysis, segmentation, and object recognition for surface and remote imagery. Spatial statistics, graphical models. Autonomous measurement, navigation, and data collection strategies for exploration robots and spacecraft.

Publications:

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David R. Thompson, Robert C. Anderson, Benjamin Bornstein, Nathalie A. Cabrol, Steve Chien, Tara Estlin, Terry Fong, Robert Hogan, Ralph Lorenz, Daniel Gaines, Martha S. Gilmore, Mario Parente, Liam Pedersen, Ted L. Roush, Giuseppe Marzo, David Wettergreen. Onboard Science Data Analysis: Implications for Future Missions. Whitepaper submitted to the National Academy of Science's Planetary Science Decadal Survey. Download PDF (CL#09-3684)

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David R. Thompson, Steve Chien, Matthew Arrott, Arjuna Balasuriyai, Yi Chao, Peggy Li, Stephanie Petillo, Oscar Schofield. Mission Planning in a Dynamic Ocean Sensorweb. International Conference on Planning and Scheduling, SPARK Workshop. Download PDF (CL #09-3134)

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David Hayden, Steve Chien, David R. Thompson, Rebecca Castano. Onboard Clustering of Aerial Data for Improved Science Return. International Joint Conference on Artificial Intelligence Workshop on AI in Space, August 2009. Download PDF (CL #09-3096)

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David R. Thompson, David Wettergreen and Rebecca Castano . Adaptive Subsampling of Image Sequences for Remote Exploration. International Joint Conference on Artificial Intelligence Workshop on AI in Space, August 2009. Download PDF (CL #09-2173)

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David R. Thompson, Nathalie A. Cabrol. Fast Texture Analysis for Remote Exploration. International Joint Conference on Artificial Intelligence Workshop on AI in Space, August 2009. Download PDF (CL #09-2025)

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David R. Thompson, Rebecca Castano and Martha S. Gilmore. Sparse Superpixel Unmixing for Exploratory Analysis of CRISM Hyperspectral Images. IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, August 2009. Download PDF (CL #09-1930)

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David R. Thompson. Aspen Glider Mission Planning. OSSE Demo video, July 2009. Download MOV (CL #09-2439)

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David R. Thompson. Domain-Guided Novelty Detection for Autonomous Exploration. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), July 2009. Download PDF (CL #09-1311)

David R. Thompson. Intelligent Mapping for Autonomous Robotic Survey. Doctoral Dissertation, The Robotics Institute at Carnegie Mellon University, July 2008.

David R. Thompson and Trey Smith and David Wettergreen. Information-Optimal Selective Data Return for Autonomous Rover Traverse Science and Survey. IEEE Conference on Robotics and Automation, 2008.

David R. Thompson and David Wettergreen. A Tale of Two Rovers: Mission Scenarios for Kilometer-Scale Site Survey. IEEE Conference on Robotics and Automation Rover Workshop (Abstract), 2008.

Francisco Calderon Peralta and David R. Thompson and David Wettergreen. Autonomous Rover Reflectance Spectroscopy with Dozens of Targets. International Symposium on Artificial Intelligence, Robotics and Automation in Space (ISAIRAS) 2008.

David R. Thompson and David Wettergreen. Intelligent Maps for Autonomous Kilometer-Scale Site Survey. International Symposium on Artificial Intelligence, Robotics and Automation in Space (ISAIRAS), 2008.

Trey Smith and David R. Thompson and David Wettergreen. Generating Exponentially Smaller POMDP Models Using Conditionally Irrelevant Variable Abstraction. 18th International Conference on Automated Planning and Scheduling (ICAPS), 2007.

Heather Dunlop and David R. Thompson and David Wettergreen. Multiscale Features for Detection and Segmentation of Rocks in Mars Imagery. IEEE Conference on Computer Vision and Pattern Recognition, 2007.

David R. Thompson and Rebecca Castano. A Performance Comparison of Rock Detection Algorithms. IEEE Aerospace Conference, Big Sky Montana, 2007.

David R. Thompson and David Wettergreen. Spatial Point Process Models for the Distribution of Northern Plains Boulders. 38th Lunar and Planetary Science Conference, March 2007.

Trey Smith and David R. Thompson and David Wettergreen and Nathalie Cabrol and Kimberly Warren-Rhodes and Shmuel Weinstein. Life in the Atacama: Science Autonomy for Improved Data Quality. Journal of Geophysical Research vol. 112, G04S03, 2007.

Trey Smith and David R. Thompson and David Wettergreen. Automatic Chlorophyll Detection and Followup Applied to the Search for Life in the Atacama. 37th Lunar and Planetary Science Conference, March 2006.

David R. Thompson and Trey Smith and David Wettergreen. Automatic Detection of Novel Biologic and Geologic Images in Atacama Desert Rover Traverse Imagery. 37th Lunar and Planetary Science Conference, March 2006.

David R. Thompson, Trey Smith, and David Wettergreen. Data Mining during Rover Traverse: From Images to Geologic Signatures. International Symposium on Artificial Intelligence, Robotics and Automation in Space, 2005.

David R. Thompson, Scott Niekum, Trey Smith, and David Wettergreen. Automatic Detection and Classification of Geologic Features of Interest. IEEE Aerospace Conference, Big Sky Montana, 2005.

David R. Thompson and David Wettergreen. Multi-Object Detection with Multiple-View Expectation Maximization Clustering. IEEE Conference on Intelligent Robotics and Systems, 2005.