A Path Planning Method with Perception Optimization Based on Sky Scanning for UAVs
文献类型：期刊论文
| 作者 | Yuan, Songhe1; Ota, Kaoru2; Dong, Mianxiong2; Zhao, Jianghai3
|
| 刊名 | SENSORS
 |
| 出版日期 | 2022-02-01 |
| 卷号 | 22 |
| 关键词 | unmanned aerial vehicle (UAV) path planning scene understanding |
| DOI | 10.3390/s22030891 |
| 通讯作者 | Yuan, Songhe(sevenyuan6@gmail.com) |
| 英文摘要 | Unmanned aerial vehicles (UAVs) are frequently adopted in disaster management. The vision they provide is extremely valuable for rescuers. However, they face severe problems in their stability in actual disaster scenarios, as the images captured by the on-board sensors cannot consistently give enough information for deep learning models to make accurate decisions. In many cases, UAVs have to capture multiple images from different views to output final recognition results. In this paper, we desire to formulate the fly path task for UAVs, considering the actual perception needs. A convolutional neural networks (CNNs) model is proposed to detect and localize the objects, such as the buildings, as well as an optimization method to find the optimal flying path to accurately recognize as many objects as possible with a minimum time cost. The simulation results demonstrate that the proposed method is effective and efficient, and can address the actual scene understanding and path planning problems for UAVs in the real world well. |
| WOS关键词 | SCENE ; TRACKING |
| 资助项目 | JSPS KAKENHI[JP19K20250] ; JSPS KAKENHI[JP20F20080] ; JSPS KAKENHI[JP20H04174] ; Leading Initiative for Excellent Young Researchers (LEADER), MEXT, Japan ; JST, PRESTO[JPMJPR21P3] ; Jiangsu Provincial Key Research and Development Program[BE2017007-1] |
| WOS研究方向 | Chemistry ; Engineering ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000757215100001 |
| 出版者 | MDPI |
| 资助机构 | JSPS KAKENHI ; Leading Initiative for Excellent Young Researchers (LEADER), MEXT, Japan ; JST, PRESTO ; Jiangsu Provincial Key Research and Development Program |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/127479]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Yuan, Songhe |
| 作者单位 | 1.Chinese Acad Sci, HeFei Inst Phys Sci, Inst Adv Mfg Technol, Changzhou 213164, Jiangsu, Peoples R China 2.Muroran Inst Technol, Dept Informat & Elect Engn, Muroran, Hokkaido 0508585, Japan 3.Chinese Acad Sci, HeFei Inst Phys Sci, Hefei 230031, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yuan, Songhe,Ota, Kaoru,Dong, Mianxiong,et al. A Path Planning Method with Perception Optimization Based on Sky Scanning for UAVs[J]. SENSORS,2022,22. |
| APA | Yuan, Songhe,Ota, Kaoru,Dong, Mianxiong,&Zhao, Jianghai.(2022).A Path Planning Method with Perception Optimization Based on Sky Scanning for UAVs.SENSORS,22. |
| MLA | Yuan, Songhe,et al."A Path Planning Method with Perception Optimization Based on Sky Scanning for UAVs".SENSORS 22(2022). |
入库方式： OAI收割
来源：合肥物质科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。