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Accession Number
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ADA566335
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Title
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Sensor Data Integrity and Mitigation of Perceptual Failures.
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Publication Date
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Aug 2012
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Media Count
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63p
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Personal Author
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T. Peynot
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Abstract
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This report describes basic research to analyze and investigate methods for automatic detection and mitigation of sensor and perception data. Specifically, the PI will investigate (1) Metrics for sensor performance in context using multi-modal redundancy and information theoretic approaches; (2) Detection, localization and mitigation of faults and failures using hierarchical causal reasoning for diagnosis; (3) Develop methods for using low- level (e.g., sensor data fusion filter) versus high-level (autonomous inference) processes for automated selection of data to use for perception.
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Keywords
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Adaptive robotics
Australia
Automation
Detection
Detectors
Failure
Fault diagnosis and recovery
Faults
Foreign reports
Intelligent systems
Metrics
Perception
Robotics
Sensing
Sensor fusion
Ugv(Unmanned ground vehicles)
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Source Agency
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Non Paid ADAS
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NTIS Subject Category
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62 - Computers, Control & Information Theory
63F - Optical Detection
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Corporate Author
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Sydney Univ. (Australia). Australian Center for Field Robotics.
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Document Type
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Technical report
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Title Note
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Annual rept. May 2011-May 2012.
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NTIS Issue Number
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1307
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Contract Number
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FA2386-10-1-4153
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