Comparison of Flight-Planning Algorithms in View of Certification Requirements
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00333188" target="_blank" >RIV/68407700:21230/19:00333188 - isvavai.cz</a>
Výsledek na webu
<a href="https://2019.dasconline.org/" target="_blank" >https://2019.dasconline.org/</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Comparison of Flight-Planning Algorithms in View of Certification Requirements
Popis výsledku v původním jazyce
In this paper, a comparison of flight path planning algorithms is presented to solve three-dimensional planning problem for a typical flight path scenario for UAV indoor and outdoor applications with oversight into general aviation and paid transport. The algorithms consider the performance of the navigation sensors and expected departure and arrival procedures which use the existing navigation means (VOR, NDB, ILS, GPS). The cruise situation is simplified to GPS navigation and obstacle avoidance. We choose to analyze the selected algorithms from the point of view of the certification issues according to the existing HW and SW requirements on determinism and time consumption. The analysis is made from the point of view of DO-178 standard. We describe the Artificial Intelligence phenomena and discuss the determinism of the currently used algorithms for flight-path panning. Within our work we focus on and summarize advantages and disadvantages of Breadth First Search, A*, Iterative Deepening A*, Theta*, and RRT* algorithms. Their reasoning process and path selection methodology with perspective of aerospace requirements are evaluated. Our main focus will be on the randomization element and uncertainty of these algorithms. We will also describe selected evaluation parameters required by FAA and EASA Technical Standard Order (TSO) documents on electronic systems and what are the conflicts between these requirements and the natural principle of the existing path-planning algorithms.
Název v anglickém jazyce
Comparison of Flight-Planning Algorithms in View of Certification Requirements
Popis výsledku anglicky
In this paper, a comparison of flight path planning algorithms is presented to solve three-dimensional planning problem for a typical flight path scenario for UAV indoor and outdoor applications with oversight into general aviation and paid transport. The algorithms consider the performance of the navigation sensors and expected departure and arrival procedures which use the existing navigation means (VOR, NDB, ILS, GPS). The cruise situation is simplified to GPS navigation and obstacle avoidance. We choose to analyze the selected algorithms from the point of view of the certification issues according to the existing HW and SW requirements on determinism and time consumption. The analysis is made from the point of view of DO-178 standard. We describe the Artificial Intelligence phenomena and discuss the determinism of the currently used algorithms for flight-path panning. Within our work we focus on and summarize advantages and disadvantages of Breadth First Search, A*, Iterative Deepening A*, Theta*, and RRT* algorithms. Their reasoning process and path selection methodology with perspective of aerospace requirements are evaluated. Our main focus will be on the randomization element and uncertainty of these algorithms. We will also describe selected evaluation parameters required by FAA and EASA Technical Standard Order (TSO) documents on electronic systems and what are the conflicts between these requirements and the natural principle of the existing path-planning algorithms.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
20204 - Robotics and automatic control
Návaznosti výsledku
Projekt
<a href="/cs/project/LTACH17013" target="_blank" >LTACH17013: Klíčové technologie pro zpracování a vizualizaci dat z Time-Of-Flight senzoru</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
IEEE/AIAA 38th Digital Avionics Systems Conference (DASC)
ISBN
978-1-7281-0649-6
ISSN
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e-ISSN
2155-7209
Počet stran výsledku
1274
Strana od-do
1-1274
Název nakladatele
IEEE
Místo vydání
Irvine, CA
Místo konání akce
San Diego, Californie
Datum konání akce
8. 9. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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