Applying BGL to Computational Geometry

Ablavsky, V. C/C++ Users Journal (August 2002) The Boost libraries (www.boost.org) extend the C++ Standard library by providing new functionality (e.g., threads and smart pointers) and establishing an extensive set of language idioms. Not surprisingly, Boost will have an impact on the emerging C++ Library Extensions Technical Report (Herb Sutter’s discussion at C++ Experts Forum). Among […]

RAVE: Real-time Autonomous Video Enhancement System

Ablavsky, V., Snorrason, M., and Taylor, C.J. Proceedings of the International Conference on Image Processing, Rochester, NY (September 2002) The ability to autonomously enhance low-quality or corrupted streaming video data is essential in a number of important civilian and defense scenarios. Applications include visual surveillance, motion picture restoration, and remote control of Unmanned Aerial Vehicles. […]

Logic of Probabilistic Arguments

Das, S. Proceedings of the Workshop on Computational Models of Natural Argument, 15th European Conference on Artificial Intelligence, Lyon, France (July 2002) We present a logic for reasoning with probabilistic arguments to help decision making under uncertainty. The syntax of the logic is essentially modal propositional, and arguments of decision makers are expressed as sentences […]

Situation Assessment via Bayesian Belief Networks

Das, S., Grey, R., and Gonsalves, P. Proceedings of the 5th International Conference on Information Fusion, Annapolis, Maryland (July 2002) We present here an approach to battlefield situation assessment based on a level 2 fusion processing of incoming information via probabilistic Bayesian Belief Network technology. A belief network (BN) can be thought of as a graphical […]

Network-based Truth Maintenance System

Das, S. and Lawless, D. Proceedings of the 15th European Conference on Artificial Intelligence, Lyon, France, (July 2002) We present here a Network-based Truth Maintenance System (NTMS) for problem solvers based on Bayesian belief network (BN) technology. BN technology has been proven to be effective for assessing battlefield situations, such as the enemy’s likely point of […]

Trustworthy Situation Assessment via Belief Networks

Das, S. and Lawless, D. Proceedings of the 5th International Conference on Information Fusion, Annapolis, Maryland, Invited Session on Information Fusion Using Bayesian Networks (July 2002) We present a Network-based Truth Maintenance System (NTMS) for problem solvers based on Bayesian belief network (BN) technology. BN technology has been proven to be effective in various domains, e.g. assessing […]

Predicting Significant Events via Sequence Learning

Das, S. and Ruda, H. Proceedings of the Workshop on Knowledge Discovery from Temporal and Spatial Data, 15th European Conference on Artificial Intelligence, Lyon, France (July, 2002) We present here an approach to sequence learning for predicting significant events at multiple levels of abstraction. The approach is capable of analyzing a collection of events over […]

Ontologies for Agent-Based Information Retrieval and Sequence Mining

Das, S., Shuster, K., and Wu, C. Proceedings of the Workshop on Ontologies in Agent Systems, 1st International Joint Conference on Autonomous Agents and Multi-Agent Systems, Bologna, Italy (July 2002) In this paper, we present two very practical problems in the areas of distributed information retrieval and pattern mining, as well as our proposed solutions via […]

ACQUIRE: Agent-based Complex QUery and Information Retrieval Engine

Das, S., Shuster, K., and Wu, C. Proceedings of the 1st International Joint Conference on Autonomous Agents and Multi-Agent Systems, Bologna, Italy (July, 2002) The heterogeneous, distributive and voluminous nature of many government and corporate data sources impose severe constraints on meeting the diverse requirements of users who analyze the data. Additionally, communication bandwidth limitations, time […]

Situational Awareness And Unmanned Ground Vehicles

Goodsell, T. and Snorrason, M. World Defence Systems, issue 8 (December 2002) 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.)

Situational Awareness of Unmanned Ground Vehicles in Semi-Structured Environments

Goodsell, T., Snorrason, M., and Stevens, M. R. Proceedings of SPIE, Volume 4726, AeroSense, Orlando, FL (April 2002) Situational Awareness (SA) is a critical component of effective autonomous vehicles, reducing operator workload and allowing an operator to command multiple vehicles or simultaneously perform other tasks. Our Scene Estimation & Situational Awareness Mapping Engine (SESAME) provides […]

Distributed Constraint Management as a Basis for Team Design

Grecu, D. and Broderick, C. Proceedings of the Seventh International Conference on Computer-Supported Cooperative Work in Design (September 2002) In this paper we propose a model of team design integration centered on constraint management. We describe a diagrammatic constraint editor that allows designers to easily develop and maintain a shared collection of design constraints, and to […]

Cognitive Modeling of Individual Combatant and Small Unit Decision-Making within the Integrated Unit Simulation System

Harper, K., Aykroyd, P., and Zacharias, G., and Middleton, V. and Hannon, C. Proceedings of the 11th Conference on Computer-Generated Forces and Behavior Representation (May 2002) The Integrated Unit Simulation System (IUSS) provides a simulation-based analysis toolkit to evaluate equipment, operational policy, and training. The IUSS has been largely applied to simulation-based acquisition (SBA) efforts focused on […]

An Agent-Based Approach to Aircraft Conflict Resolution with Constraints

Harper, K., Guarino, S., White, A., Hanson, M., Bilimoria, K., and Mulfinger, D. Proceedings of the AIAA Guidance, Navigation and Control Conference, Monterey, CA (August 2002) 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 […]

Modeling Attention Allocation and Multitasking in Computational Human Behavior Representations

Harper, K., and Zacharias, G Proceedings of the 11th Conference on Computer-Generated Forces and Behavior Representation, Orlando, FL (May 2002) 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.)

Individual and Group Behavior Determinants: Inventory, Inferencing, and Applications

Hudlicka, E., Zacharias, G., and Schweitzer, J Proceedings of the 11th Conference on Computer-Generated Forces and Behavior Representation (May 2003)   A critical component of behavior modeling and prediction is the identification of the variety of factors that influence decision making andperformance. These include both intrinsic factors, termed behavior moderators or individual differences, extrinsic factors, focusing […]

Histogram-based Color Consistency Test for Voxel Coloring

Stevens, M. R., Culbertson, B., and  Malzbender, T. Proceedings of ICPR, Quebec City, Quebec, Canada (August 2002) Voxel Coloring has become a popular technique for reconstructing a 3D scene from a set of 2D images. While many different variants of this technique exist, all rely on a test to determine if each voxel is projecting to […]

Automatic Target Segmentation Using LADAR and PMMW Imagery

Stevens, M. R., Snorrason, M., and Amphay, S. Proceedings of ICPR, Quebec City, Quebec, Canada, (August 2002) The need for air-to-ground missiles with Autonomous Target Acquisition (ATA) seekers is in large part driven by the failure of pilot-guided bombs in cloudy conditions (such as demonstrated in Kosovo). Passive-millimeter wave (PMMW) sensors have the ability to […]

Laser Vibrometry For Target Classification

Stevens, M. R., Snorrason, M., and Petrovich, D. Proceedings of SPIE, Volume 4726, AeroSense, Orlando, FL (April 2002) Automatic Target Recognition (ATR) algorithm performance is sensitive to variability in the observed target signature. Algorithms are developed and tested under a specific set of operating conditions and then are often required to perform well under very […]

Identifying Vehicles Using Vibration Signatures

Stevens, M. R., Snorrason, M., and Petrovich, D. Proceedings of ICPR, Quebec City, Quebec, Canada (August 2002) Laser Vibrometry is an exciting new sensor technology that promises to improve automatic target recognition (ATR) performance. Sensors such as Micro-Laser Interferometer Doppler (MLID) measure minute vibrations on the surface of an object from a large standoff distance. […]

Multisensor Segmentation Using LADAR and PMMW

Stevens, M. R., Snorrason, M., and Amphay, S. Proceedings of SPIE, vol 4729, AeroSense, Orlando, FL (April 2002) 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.)

Feature Selection for Laser-Radar Based Target Classification

Stevens, M. R., Snorrason, M., Ruda, H., and Amphay, S Proceedings of SPIE, Volume 4726, AeroSense, Orlando, FL (April 2002) Numerous feature detectors have been defined for detecting military vehicles in natural scenes. These features can be computed for a given image chip containing a known target and used to train a classifier. This classifier can […]

Prediction and Confirmation Tools

Zacharias, G. and Fuchs, R. Predictive Battlespace Awareness to Improve Military Effectiveness, Volume 1: Summary, (G. B. Harrison, editor), US Air Force Scientific Advisory Board Report SAB-TR-02-01, Alexandria, VA (August 2002) 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. […]