Dissertation/Thesis Abstract

Integrity Analysis for Aviation and Automotive Applications
by Mario, Courtney, M.S., Tufts University, 2011, 121; 1495492
Abstract (Summary)

As technology advances, automated systems are being considered for many safety applications within the aviation and automotive industries. Such applications include airport surface traffic management systems and automotive lane-keeping systems. Possibly misleading sensor data must be considered when designing these systems since they operate in the absence of a human controller. Currently, no integrity requirements (e.g. no sensor anomaly detection requirements) have been defined for these types of automated airport surface and automotive applications. This thesis both demonstrates an integrity risk assessment for an airport surface application and proposes an integrity monitor for an automated lane-keeping system. Within this work, airport surveillance sensors, such as radar, multilateration, and ADS-B, are evaluated and modeled, with a specific emphasis on the impact of their random noise and off-nominal performance characteristics on the system's integrity. Similarly, for automated lane-keeping, two image processing techniques - gradient detection and optical flow - are applied to perform a cross-check in order to verify measurement quality.

Indexing (document details)
Advisor: Rife, Jason
Commitee: Lasser, Ron, White, Robert
School: Tufts University
Department: Mechanical Engineering
School Location: United States -- Massachusetts
Source: MAI 49/06M, Masters Abstracts International
Subjects: Mechanical engineering, Robotics
Keywords: Automated, Automotive, Aviation, Cd&r, Integrity
Publication Number: 1495492
ISBN: 978-1-124-73341-8
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