详情

原文传递 High-Performance Computing GNSS-aware Path Planning Algorithm for Safe Urban Flight Operations.

题名：	High-Performance Computing GNSS-aware Path Planning Algorithm for Safe Urban Flight Operations.
作者：	Gutierrez, J; Neogi, N; Kaeli, D; Dill, E.
摘要：	The emergence and development of advanced technologies and vehicle types have createda growing demand for new forms of flight operations. These new and increasingly complexoperational paradigms, such as Advanced and Urban Air Mobility (AAM/UAM), presentregulatory authorities and the aviation community with several design-and-implementationchallenges – particularly for highly autonomous vehicles. An overarching and daunting taskis to develop protocols that can integrate these operations without compromising safety ordisrupting traditional airspace operations. A shift toward a more predictive, autonomous,risk mitigation capability becomes critical to meet this challenge. This paper proposes andevaluates a computationally-efficient path planning approach to perform pre-flight planning andautonomous in-flight re-routing to minimize exposures to selected hazards. In our evaluation,hazards associated with degraded and missing critical GPS navigation data are considered.In this paper, we first present a high-performance computing path planning approach basedon an adapted Bellman-Ford algorithm, developed in the CUDA programming language. Usingthe adapted path planning algorithm, we test this algorithm when encountering issues with GPSquality, and deliver an implementation that can produce flight paths that minimize exposure torisks, while maintaining a low computational burden. In our evaluation, the computation ofperiodic and aperiodic path updates are evaluated, prioritizing specific events as triggers forupdates, based on changes to satellite availability. These critical events can lead to significantexposure to navigational hazards if not dealt with correctly.
总页数：	13 pages