Funder
the national natural science foundation of china
science and technology program of shenzhen
Publisher
Springer Science and Business Media LLC
Reference40 articles.
1. Kalman, R.: A new approach to linear filtering and prediction problems. J. Basic Eng. 82(1), 35–45 (1960)
2. Uhlmann, J.K.; Julier, S.J.: A new extension of the kalman filter to nonlinear systems, Signal Processing, Sensor Fusion, and Target Recognition VI. International Society for Optics and Photonics 3068, 182–193 (1997)
3. Julier, S.; Uhlmann, J.; Durrantwhyte, H.F.: A new method for the nonlinear transformation of means and covariances in filters and estimators. IEEE Trans. Autom. Control 45(3), 477–482 (2000)
4. Arulampalam, M.; Maskell, S.; Gordon, N., et al.: A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking. IEEE Trans. Signal Process. 50(2), 174–188 (2002)
5. Liu, J.; Wang, Z.; Xu, M.: DeepMTT: A deep learning maneuvering target-tracking algorithm based on bidirectional LSTM network. Information Fusion 53, 289–304 (2020)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献