Unsupervised Feature Fusion Combined with Neural Network Applied to UAV Attitude Estimation
文献类型：会议论文
| 作者 | Dai Xin; Yimin Zhou; Meng Shan; Qingtian Wu |
| 出版日期 | 2018 |
| 会议日期 | 2018 |
| 会议地点 | Kuala Lumpur, Malaysia |
| 英文摘要 | In the field of an unmanned aerial vehicle (UAV), the navigation algorithm with high precision and easy implementation is a hot topic of research, and the key of UAV control is to obtain accurate and real-time attitude information. In this paper, a feature fusion algorithm based on unsupervised deep autoencoder (DAE) is proposed. It is used for data fusion of multiple sensors. The experimental results show that the unsupervised feature fusion algorithm can effectively improve the accuracy and has the potential to be applied to the data fusion of UAV sensors |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/13852]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 推荐引用方式 GB/T 7714 | Dai Xin,Yimin Zhou,Meng Shan,et al. Unsupervised Feature Fusion Combined with Neural Network Applied to UAV Attitude Estimation[C]. 见:. Kuala Lumpur, Malaysia. 2018. |
入库方式： OAI收割
来源：深圳先进技术研究院
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