Impact of Uncertainty on Collision Avoidance between Multirotor Small Unmanned Aircraft System and Manned Helicopter in Multilateration Environment
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- SATO Gaku
- Air Traffic Management Department, Electronic Navigation Research Institute
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- TORATANI Daichi
- Air Traffic Management Department, Electronic Navigation Research Institute
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- KOGA Tadashi
- Surveillance and Communication Department, Electronic Navigation Research Institute
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- YOKOI Hiroshi
- Graduate School of Informatics and Engineering, University of Electro-Communications
Bibliographic Information
- Other Title
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- マルチラテレーションの監視によるマルチコプタ型小型無人航空機と有人航空機との衝突回避における不確実性の影響
Abstract
<p>Recently, with the increase in the number of small unmanned aircraft system (sUAS) flights, the risk of collisions between sUAS and manned aircraft such as helicopters flying at relatively low altitudes is also increasing. For mitigating the risk, we develop a collision avoidance method for multirotor sUAS, assuming the encounter with a manned helicopter in a multilateration (MLAT) environment, which is a surveillance system for manned aircraft. The MLAT system can also detect manned helicopter's position but has position error. The proposed collision avoidance method is formulated based on Markov decision process considering uncertainty from the position detection error in the MLAT environment. The optimal action for avoiding collision is derived by solving the formulated collision avoidance problem using dynamic programming. Numerical simulations are held for evaluating the impacts of uncertainty on the collision avoidance method. The results show that the proposed method can avoid the collision between sUAS and manned helicopter while considering uncertainty from the MLAT environment. Additionally, the proposed method is evaluated based on the collision risk ratio, and the evaluation results show the requirements for the MLAT performance for realizing safe collision avoidance.</p>
Journal
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- Transactions of the Society of Instrument and Control Engineers
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Transactions of the Society of Instrument and Control Engineers 60 (3), 228-237, 2024
The Society of Instrument and Control Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390018218937513984
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- ISSN
- 18838189
- 04534654
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Disallowed