A Path Planning Method with Perception Optimization Based on Sky Scanning for UAVs
Yuan, Songhe3; Ota, Kaoru1; Dong, Mianxiong1; Zhao, Jianghai2
刊名SENSORS
2022-02-01
卷号22
关键词unmanned aerial vehicle (UAV) path planning scene understanding
DOI10.3390/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.
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关键词SCENE ; TRACKING
WOS研究方向Chemistry ; Engineering ; Instruments & Instrumentation
语种英语
出版者MDPI
WOS记录号WOS:000757215100001
资助机构JSPS KAKENHI ; Leading Initiative for Excellent Young Researchers (LEADER), MEXT, Japan ; JST, PRESTO ; Jiangsu Provincial Key Research and Development Program
内容类型期刊论文
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.Muroran Inst Technol, Dept Informat & Elect Engn, Muroran, Hokkaido 0508585, Japan
2.Chinese Acad Sci, HeFei Inst Phys Sci, Hefei 230031, Peoples R China
3.Chinese Acad Sci, HeFei Inst Phys Sci, Inst Adv Mfg Technol, Changzhou 213164, Jiangsu, 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).
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