Variational Bayesian-Based Filter for Inaccurate Input in Underwater Navigation
IEEE Transactions on Vehicular Technology(2021)
摘要
Autonomous underwater vehicle (AUV) has been employed in oceanography applications based on a reliable navigation. The complex underwater environment leads to more velocity measurement errors of AUV, so it is difficult to determine the accurate navigation and positioning information. To solve the problem, a novel variational Bayesian-based filter for inaccurate input (VBFII) is proposed to determi...
更多查看译文
关键词
Covariance matrices,Navigation,Estimation,Gaussian distribution,Noise measurement,Kalman filters,Bayes methods
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要