DSSA+for3D
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- SHIOTA Tomohiro
- Kobe University
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- HIRAYAMA Katsutoshi
- Kobe University
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- OKIMOTO Tenda
- Kobe University
Bibliographic Information
- Other Title
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- Expansion of DSSA+ into the 3D Space
- 分散確率的探索アルゴリズムDSSA+の3次元空間への拡張
Abstract
<p>Distributed Stochastic Search Algorithm(DSSA) is one of state-of-the-art distributed algorithms for the ship collision avoidance problems. In DSSA, when another ship approaches one’s own ship, she will select the optimal and safe course by exchanging intentions(headings) with each other. The extended version of DSSA+ can realize more efficient and general collision avoidance by considering not only the course change but also the speed change. However, since both them assume collision avoidance in two-dimensional space, further expansion and reconsideration of the existing framework are necessary to deal with collision avoidance problems of autonomous vehicles in three-dimensional space such as drones in the future. In this paper, we propose a new distributed collision avoidance algorithm with such an extension and evaluate its performance.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2020 (0), 2N6GS103-2N6GS103, 2020
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390285300166113920
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- NII Article ID
- 130007856948
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed