Accession Number:

ADA566335

Title:

Sensor Data Integrity and Mitigation of Perceptual Failures

Descriptive Note:

Annual rept. May 2011-May 2012

Corporate Author:

SYDNEY UNIV (AUSTRALIA) AUSTRALIAN CENTER FOR FIELD ROBOTICS

Personal Author(s):

• Peynot, Thierry

Report Date:

2012-08-01

Pagination or Media Count:

63.0

Abstract:

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.

Descriptors:

• *DETECTORS
• *FAULTS
• *ROBOTICS
• AUSTRALIA
• AUTOMATION
• DETECTION
• FAILURE
• METRICS
• PERCEPTION
• SENSOR FUSION

Subject Categories:

• Cybernetics
• Miscellaneous Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE