Multi-Agent Planning and Scheduling Environment for Enhanced Spacecraft Autonomy

Das, S., Gonsalves, P., Krikorian, R. and Truszkowski, W. Proceedings of the 5th International Symposium on Artificial Intelligence, Robotics and Automation in Space, Noodwijk, The Netherlands(June 1999). For More Information To learn more or request a copy of a paper (if available), contact info@cra.com. (Please include your name, address, organization, and the paper reference. Requests without […]

Distributed Planning and Scheduling for Enhancing Spacecraft Autonomy

Das, S., Gonsalves, P., Krikorian, R., and Truszkowski, W. Proceedings of the 3rd International Conference on Autonomous Agents, Seattle, WA (1999) For More Information To learn more or request a copy of a paper (if available), contact info@cra.com. (Please include your name, address, organization, and the paper reference. Requests without this information will not be honored.)

A Software Environment for Knowledge Discovery in Spacecraft Telemetry Data

Gonsalves, P., Ivanov, A. and Zetocha, P. Proceedings of the AIAA Space Technology Conference, Albuquerque, NM (September 1999) Ground operations stipulate significant program costs and manpower requirements for both commercial and military satellite systems. Spacecraft manufacturers and government agencies are constantly seeking methods to ameliorate these aspects of spacecraft command and control operations in light […]

A Hybrid Artificial Intelligence Architecture for Battlefield Information Fusion

Gonsalves, P., Rinkus, G., Das, S., and Ton, N. Proceedings of the 2nd International Conference on Information Fusion, Sunnyvale, CA (July 1999) The processing of tactical information and the associated situation assessment of the tactical battlefield is a major task for military personnel. Significant effort has been made in countering this challenge with advances in […]

Air Traffic Controller Agent Model for Free Flight

Harper, K., Mulgund, S., Guarino, S., Mehta, A. and Zacharias, G. Proceedings of the 1999 Guidance, Navigation, and Control Conference, Portland, OR (August 1999) For More Information To learn more or request a copy of a paper (if available), contact info@cra.com. (Please include your name, address, organization, and the paper reference. Requests without this information will […]

Affective Computing (Panel)

Hudlicka, E., McNeese, M., Healy, J., Serfaty, D., Wellens, R., and Zacharias, G. Proceedings of the 43rd Annual Meeting of the Human Factors and Ergonomics Society, Houston, TX (September 1999). For More Information To learn more or request a copy of a paper (if available), contact info@cra.com. (Please include your name, address, organization, and the paper […]

Command and Control Warfare Analysis and Reasoning System (C2WARS)

Hudlicka, E., Schweitzer, G., and Zacharias, G. Proceedings of the Fiesta Crow 99: Information Operations Going Global Conference, San Antonio, TX (April 1999) We describe a Command and Control Warfare Analysis and Reasoning System (C2WARS), designed to assist the commander in information campaign planning, C2WARS provides aiding by automating key tasks of the IO/IW process, […]

Modeling Time to Detection for Observers Searching for Targets in Cluttered Backgrounds

Ruda, H. and Snorrason, M. Proceedings of SPIE, Vol. 3699, Aerosense, Orlando, FL (April 1999) The purpose of this work is to provide a model for the average time to detection for observers searching for targets in photo realistic images of cluttered scenes. The proposed model builds on previous work that constructs a fixation probability […]

Vision-based Obstacle Detection and Path Planning for Planetary Rovers

Snorrason, M., Norris, J., and Backes, P. Proceedings of SPIE, Vol. 3693, AeroSense, Orlando, FL (April 1999) NASA’s next generation Mars rovers are capable of capturing panoramic stereo imagery of their surroundings. Three-dimensional terrain maps can be derived from such imagery through stereo image correlation. While 3-D data is inherently valuable for planning a path through […]

Image-Based Model for Visual Search and Target Acquisition

Snorrason, M., Ruda, H., and Hoffman, J Proceedings of Ground Target Modeling and Validation ’99, Houghton, MI (August 1999) The overall objective of this project is to develop a computational model for predicting probability of detection during search for hard-to-see targets. This model is image based: it uses imagery for input, rather than estimated parameter values […]