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Human-Interaction Challenges in UAV-Based Autonomous SurveillanceAutonomous UAVs provide a platform for intelligent surveillance in application domains ranging from security and military operations to scientific information gathering and land management. Surveillance tasks are often long duration, requiring that any approach be adaptive to changes in the environment or user needs. We describe a decision- theoretic model of surveillance, appropriate for use on our autonomous helicopter, that provides a basis for optimizing the value of information returned by the UAV. From this approach arise a range of challenges in making this framework practical for use by human operators lacking specialized knowledge of autonomy and mathematics. This paper describes our platform and approach, then describes human-interaction challenges arising from this approach that we have identified and begun to address.
Document ID
20040066106
Acquisition Source
Ames Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Freed, Michael
(Institute for Human and Machine Cognition Moffett Field, CA, United States)
Harris, Robert
(QSS Group, Inc. Moffett Field, CA, United States)
Shafto, Michael G.
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
September 7, 2013
Publication Date
February 6, 2004
Subject Category
Mechanical Engineering
Meeting Information
Meeting: American Association for Artificial Intelligence Spring Symposium
Location: Palo Alto, CA
Country: United States
Start Date: March 21, 2004
End Date: March 23, 2004
Sponsors: American Association for Artificial Intelligence
Distribution Limits
Public
Copyright
Public Use Permitted.
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