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You searched on: Author: craig schlenoff

Displaying records 71 to 80 of 111 records.
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71. A Hierarchical, Multi-Resolutional Moving Object Prediction Approach for Autonomous On-Road Driving
Published: 5/3/2004
Authors: Craig I Schlenoff, Rajmohan Madhavan, Anthony J Barbera
Abstract: In this paper, we present a hierarchical, multi-resolutional approach for moving object prediction via estimation-theoretic and situation-based probabilistic techniques. The results of the prediction are made available to a planner to allow it to mak ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=824500

72. Report on 2004 AAAI Spring Symposia: Knowledge Representation and Ontologies for Autonomous Systems
Published: 4/30/2004
Author: Craig I Schlenoff
Abstract: This report describes the results of the 2004 AAAI Knowledge Representation and Ontologies for Autonomous Systems Spring Symposium, which was held at Stanford on March 22-23, 2004. The symposium was motivated by the desire to bring together colleague ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=823494

73. Editorial Knowledge Representation and Ontologies for Autonomous Systems--2004 AAAI Spring Symposium
Published: 3/24/2004
Authors: Craig I Schlenoff, M Uschold
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=823531

74. How Task Analysis Can Be Used to Derive and Organize the Knowledge for the Control of Autonomous Vehicles
Published: 3/24/2004
Authors: Tony Barbera, James S. Albus, Elena R Messina, Craig I Schlenoff, John A Horst
Abstract: The Real-time Control System (RCS) Methodology has evolved over a number of years as a technique to capture task knowledge and organize it in a framework conducive to implementation in computer control systems. The fundamental premise of this methodo ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=822481

75. How Task Analysis Can Be Used to Derive and Organize the Knowledge for the Control of Autonomous Vehicles
Published: 3/1/2004
Authors: Anthony J Barbera, James S. Albus, Elena R Messina, Craig I Schlenoff, John A Horst
Abstract: The Real-time Control System (RCS) Methodology has evolved over a number of years as a technique to capture task knowledge and organize it in a framework conducive to implementation in computer control systems. The fundamental premise of this method ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=824496

76. 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

77. Knowledge Engineering for Real Time Intelligent Control
Published: 12/31/2003
Authors: Elena R Messina, James S. 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

78. Achieving Intelligent Performance in Autonomous Driving
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7166
Published: 10/31/2003
Authors: James S. 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

79. Achieving Intelligent Performance in Autonomous Driving
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7166
Published: 10/1/2003
Authors: James S. 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

80. 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



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