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Predictive GNSS Performance Monitor for Autonomous Air Vehicles in Urban Environments.
| 题名： | Predictive GNSS Performance Monitor for Autonomous Air Vehicles in Urban Environments. |
| 作者： | Evan Dill## Julian Gutierrez## Steve Young##Andrew Moore##Arthur Scholz## Emily Bates## Ken Schmitt ## Jonathan Doughty |
| 摘要： | The emergence and development of advanced technologies and vehicle types has created a growing demand for the introduction of new forms of flight operations. These new and increasingly complex operational paradigms such as Advanced and Urban Air Mobility (AAM/UAM) present regulatory authorities and the aviation community with several design and implementation challenges – particularly for highly autonomous vehicles. An overarching and daunting task is finding methods to integrate these emerging operations without compromising safety or disrupting traditional airspace operations. A shift toward a more predictive risk mitigation capability becomes critical to meet this challenge. This paper focus on the development and testing of a prognostic service aimed at estimating the quality of Global Navigation Satellite System (GNSS) performance for an autonomous aircraft in complex environments. The intent of this function is to proactively reduce a flight operations risk of exposure to states that may induce poor or unacceptable navigation system performance by factoring in estimates of GNSS quality into pre-flight and/or in-flight route planning. Methodologies for producing quality estimates are specified and results are provided for selected simulation and flight test cases. |
| 总页数： | 14 |
| 报告类型： | 科技报告 |
| 发布日期： | 2021 |
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