Advances in sensing (miniaturization, distributed sensor networks) combined with improvements in computational power leading to significant gains in perception, real-time decision making/reasoning and dynamic planning under uncertainty as well as big data predictive analysis have set the stage for realization of autonomous system capability. These advances open the design and operating space for self-aware vehicles that are able to assess their own capabilities and adjust their behavior to either complete the assigned mission or to modify the mission to reflect their current capabilities. This paper discusses the self-aware vehicle concept and associated technologies necessary for full exploitation of the concept. A self-aware aircraft, spacecraft or system is one that is aware of its internal state, has situational awareness of its environment, can assess its capabilities currently and project them into the future, understands its mission objectives, and can make decisions under uncertainty regarding its ability to achieve its mission objectives.


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    Title :

    Self-Aware Vehicles: Mission and Performance Adaptation to System Health


    Contributors:
    I. M. Gregory (author) / C. Leonard (author) / S. J. Scotti (author)

    Publication date :

    2016


    Size :

    7 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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