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Research on an autonomous vision-guided helicopterIntegration of computer vision with on-board sensors to autonomously fly helicopters was researched. The key components developed were custom designed vision processing hardware and an indoor testbed. The custom designed hardware provided flexible integration of on-board sensors with real-time image processing resulting in a significant improvement in vision-based state estimation. The indoor testbed provided convenient calibrated experimentation in constructing real autonomous systems.
Document ID
19950005097
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Amidi, Omead
(Carnegie-Mellon Univ. Pittsburgh, PA, United States)
Mesaki, Yuji
(Carnegie-Mellon Univ. Pittsburgh, PA, United States)
Kanade, Takeo
(Carnegie-Mellon Univ. Pittsburgh, PA, United States)
Date Acquired
September 6, 2013
Publication Date
March 1, 1994
Publication Information
Publication: NASA. Johnson Space Center, Conference on Intelligent Robotics in Field, Factory, Service and Space (CIRFFSS 1994), Volume 2
Subject Category
Aircraft Stability And Control
Report/Patent Number
AIAA PAPER 94-1240-CP
Accession Number
95N11510
Distribution Limits
Public
Copyright
Public Use Permitted.
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