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Author: craig schlenoff

Displaying records 71 to 80 of 106 records.
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71. Developing World Model Data Specifications as Metrics for Sensory Processing for On-Road Driving Taks
Published: 1/1/2004
Authors: Tony Barbera, John A Horst, Craig I Schlenoff, Evan K Wallace, David Aha
Abstract: The building of knowledge-intensive real-time intelligent control systems is one of the most difficult tasks humans attempt. It is motivated by the desire to create an artificial reasoning system that is capable of intelligent behavior, i.e., replica ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=822120

72. Knowledge Engineering for Real Time Intelligent Control
Published: 12/31/2003
Authors: Elena R Messina, James S. Dr. Albus, Craig I Schlenoff, J L Evans
Abstract: The key to real-time intelligent control lies in the knowledge models that the system contains. We argue that there needs to be a more rigorous approach to engineering the knowledge within intelligent controllers. Three main classes of knowledge are ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=822497

73. Achieving Intelligent Performance in Autonomous Driving
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7166
Published: 10/31/2003
Authors: James S. Dr. Albus, John Evans, Craig I Schlenoff, Tony Barbera, Elena R Messina, Stephen B. Balakirsky
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=822595

74. Achieving Intelligent Performance in Autonomous Driving
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7166
Published: 10/1/2003
Authors: James S. Dr. Albus, John Evans, Craig I Schlenoff, Anthony J Barbera, Elena R Messina, Stephen B. Balakirsky
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=823527

75. Developing World Model Data Specifications as Metrics for Sensory Processing for On-Road Driving Tasks
Published: 10/1/2003
Authors: Anthony J Barbera, John A Horst, Craig I Schlenoff, Evan K Wallace, David Aha
Abstract: The building of knowledge-intensive real-time intelligent control systems is one of the most difficult tasks humans attempt. It is motivated by the desire to create an artificial reasoning system that is capable of intelligent behavior, i.e., replica ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=823476

76. Using Ontologies to Aid Navigation Planning in Autonomous Vehicles
Published: 9/1/2003
Authors: Craig I Schlenoff, Stephen B. Balakirsky, M Uschold, R Provine, S J Smith
Abstract: This paper describes a system whose overall goal is to utilize ontologies to enhance the capabilities and performance of autonomous vehicles, particularly in the area of navigation planning. Our approach is to develop an ontology of objects based upo ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=823475

77. Moving Object Prediction for Off-Road Autonomous Navigation
Published: 8/25/2003
Authors: Rajmohan Madhavan, Craig I Schlenoff
Abstract: The realization of on- and o.-road autonomous navigation of Unmanned Ground Vehicles (UGVs) requiresreal-time motion planning in the presence of dynamic objects with unknown trajectories. To successfully planpaths and to navigate in an unstructured e ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=823452

78. Developing World Model Data Specifications as Metrics for Sensory Processing for On-Road Driving Tasks
Published: 8/18/2003
Authors: Tony Barbera, John A Horst, Craig I Schlenoff, Evan K Wallace, David Aha
Abstract: Building knowledge-intensive real-time ntelligent control systems is one of the most difficult tasks that humans attempt. It is motivated by the desire to create an artificial reasoning system that displays intelligent behavior (i.e. that can act on ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=822563

79. Performance Evaluation of Tools and Techniques for Representing Cost-Based Decision Criteria for On-Road Autonomous Navigation
Published: 8/18/2003
Authors: Neil M Zimmerman, Craig I Schlenoff, Stephen B. Balakirsky
Abstract: The purpose of the work described in this paper is to analyze rule-based and functional tools to determine which are best suited for cost generation in an autonomous vehicular system. In this context, costs are numeric values that represent a penalty ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=822585

80. An Approach to Predicting the Location of Moving Objects During On-Road Navigation
Published: 8/15/2003
Authors: Craig I Schlenoff, Rajmohan Madhavan, Stephen B. Balakirsky
Abstract: For an autonomous vehicle to navigate in real-time within a dynamic environment, it must be able to respond to moving objects. In particular, it must be able to predict, with appropriate levels of confidence, where those objects are expected to be at ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=824436



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