Factor Graph Based SINS/DVL Integrated Navigation Method of AUV with Sparse Beacon Measurement
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-6613-2_547
Reference10 articles.
1. Davari, N., Gholami, A.: An asynchronous adaptive direct Kalman filter algorithm to improve underwater navigation system performance. IEEE Sensors J. 17, 1061–1068 (2017). https://doi.org/10.1109/JSEN.2016.2637402
2. Fallon M.F., Kaess M., Johannsson H., Leonard J.J.: Efficient AUV navigation fusing acoustic ranging and side-scan sonar. In: 2011 IEEE International Conference on Robotics and Automation, (Shanghai, China), pp. 2398–2405, IEEE, May 2011. https://doi.org/10.1109/ICRA.2011.5980302
3. Tang, K., Jiang, M., Weng, J.: Design of sins/phased array DVL integrated navigation system for underwater vehicle based on adaptive filtering. J. Chin. Inertial Technol. 21(01), 65–70 (2013). https://doi.org/10.13695/j.cnki.12-1222/o3.2013.01.029
4. Kaess M., Johannsson H., Roberts R., Ila V., Leonard J., Dellaert F.: iSAM2: incremental smoothing and mapping with fluid relinearization and incremental variable reordering. In: 2011 IEEE International Conference on Robotics and Automation, (Shanghai, China), pp. 3281–3288, IEEE, May 2011. https://doi.org/10.1109/ICRA.2011.5979641
5. Karimi M., Bozorg M., Khayatian A.R. : A comparison of DVL/INS fusion by UKF and EKF to localize an autonomous underwater vehicle. In: 2013 First RSI/ISM International Conference on Robotics and Mechatronics (ICRoM), (Tehran), pp. 62–67, IEEE, February 2013. https://doi.org/10.1109/ICRoM.2013.6510082
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