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Towards a Unified Framework for UAS Autonomy and Technology Readiness Assessment (ATRA)

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Autonomous Control Systems and Vehicles

Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering ((ISCA,volume 65))

Abstract

As the number of programs for developing autonomous unmanned aircraft systems (UAS) accelerates, there is a growing need for a comprehensive framework that allows UAS practitioners, particularly researchers, to characterize, compare, and assess the UAS autonomy technologies from the perspectives of their capabilities and maturity. In this chapter, we propose the autonomy and technology readiness assessment (ATRA) framework that provides definitions and metrics to systematically evaluate the autonomy level of a UAS and to correctly measure the maturity of its autonomy-enabling technologies. The ATRA framework combines both autonomy level (AL) and technology readiness level (TRL) metrics to provide a comprehensive picture of how the UAS would behave in realistic operational environment and its suitability for a particular application. An example of ATRA’s application to the CSIRO autonomous helicopter will be shown. This is still an ongoing research, and once the framework is further populated and completed, it can serve as a common reference for the UAS research community and provide a framework in which to evaluate the existing autonomy technologies, view how they relate to each other, and make qualitative and quantitative comparisons.

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Notes

  1. 1.

    Spacecraft Mission Assessment and Replanning Tool.

  2. 2.

    “Own” implies independence from human or any other external system.

  3. 3.

    Metrics for measuring the level of GNC functions and process for determining the UAS level of autonomy using the scores of these various metrics.

  4. 4.

    http://www.smartskies.com.au.

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Correspondence to Farid Kendoul .

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Kendoul, F. (2013). Towards a Unified Framework for UAS Autonomy and Technology Readiness Assessment (ATRA). In: Nonami, K., Kartidjo, M., Yoon, KJ., Budiyono, A. (eds) Autonomous Control Systems and Vehicles. Intelligent Systems, Control and Automation: Science and Engineering, vol 65. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54276-6_4

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  • DOI: https://doi.org/10.1007/978-4-431-54276-6_4

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  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-54275-9

  • Online ISBN: 978-4-431-54276-6

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