抄録
In this research, a new fire detection method and a new path planning algorithm are proposed. Traditional fire detection methods are based on fixed RGB models and they are not accurate enough under different circumstances. Traditional A∗ path planning algorithm always focuses on a minimum cost from a start point to an end point, so it is not suitable for complex environment. To solve fire detection problem, we use an object detection algorithm based on a convolutional neural network and trained it with real fire images to detect fire area in an image. For the path planning problem, an improved A∗ algorithm with new weight for different area and box blur method are used to ensure the output path is away from the obstacle. In the end of this paper, we simulate disaster environment in Unity3D and implement two algorithms to measure their performance.
本文言語 | English |
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ホスト出版物のタイトル | 2018 International Conference on Information and Communication Technology Robotics, ICT-ROBOT 2018 |
出版社 | Institute of Electrical and Electronics Engineers Inc. |
ISBN(電子版) | 9781728119960 |
DOI | |
出版ステータス | Published - 2018 11月 27 |
イベント | 2018 International Conference on Information and Communication Technology Robotics, ICT-ROBOT 2018 - Busan, Korea, Republic of 継続期間: 2018 9月 6 → 2018 9月 8 |
Other
Other | 2018 International Conference on Information and Communication Technology Robotics, ICT-ROBOT 2018 |
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国/地域 | Korea, Republic of |
City | Busan |
Period | 18/9/6 → 18/9/8 |
ASJC Scopus subject areas
- 人工知能
- 人間とコンピュータの相互作用
- 電子工学および電気工学
- 制御と最適化
- 通信