Volume 11
							Issue 8 
						IEEE/CAA Journal of Automatica Sinica
| Citation: | Q. Hu, J. Liu, and Z. Zuo, “A probabilistic approach for predicting vessel motion,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1877–1879, Aug. 2024. doi: 10.1109/JAS.2024.124536 | 
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					 T. Zhang, W. Song, M. Fu, Y. Yang, and M. Wang, “Vehicle motion prediction at intersections based on the turning intention and prior trajectories model,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 10, pp. 1657–1666, 2021. doi:  10.1109/JAS.2021.1003952 
						
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					 R. Chai, Y. Guo, Z. Zuo, K. Chen, H. Shin, and A. Tsourdos, “Cooperative motion planning and control for aerial-ground autonomous systems: Methods and applications,” Progress in Aerospace Sciences, vol. 146, pp. 101005–101022, 2024. doi:  10.1016/j.paerosci.2024.101005 
						
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					 X. Li, Y. Liu, K. Wang, and F. Y. Wang, “A recurrent attention and interaction model for pedestrian trajectory prediction,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1361–1370, 2020. doi:  10.1109/JAS.2020.1003300 
						
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					 X. Zhao, Y. Chen, J. Guo, and D. Zhao, “A spatial-temporal attention model for human trajectory prediction,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 965–974, 2020. doi:  10.1109/JAS.2020.1003228 
						
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					 F. A. Gers, J. Schmidhuber, and F. Cummins, “Learning to forget: Continual prediction with LSTM,” Neural Computation, vol. 12, no. 10, pp. 2451–2471, 2000. doi:  10.1162/089976600300015015 
						
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					 S. Capobianco, N. Forti, L. M. Millefiori, P. Braca, and P. Willett, “Recurrent encoder-decoder networks for vessel trajectory prediction with uncertainty estimation,” IEEE Trans. Aerospace and Electronic Systems, vol. 59, no. 3, pp. 2554–2565, 2023. doi:  10.1109/TAES.2022.3216823 
						
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					 H. Rong, A. P. Teixeira, and C. G. Soares, “Ship trajectory uncertainty prediction based on a Gaussian process model,” Ocean Engineering, vol. 182, pp. 499–511, 2019. doi:  10.1016/j.oceaneng.2019.04.024 
						
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					 S. J. Julier and J. K. Uhlmann, “Unscented filtering and nonlinear estimation,” Proc. IEEE, vol. 92, no. 3, pp. 401–422, 2004. doi:  10.1109/JPROC.2003.823141 
						
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					 L. P. Perera, P. Oliveira, and C. G. Soares, “Maritime traffic monitoring based on vessel detection, tracking, state estimation, and trajectory prediction,” IEEE Trans. Intelligent Transportation Systems, vol. 13, no. 3, pp. 1188–1200, 2012. doi:  10.1109/TITS.2012.2187282 
						
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					 B. Øksendal, Stochastic Differential Equations: An Introduction With Applications. Berlin, Heidelberg, Germany: Springer, 2003. 
						
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					 C. Archambeau and M. Opper, “Approximate inference for continuous-time Markov processes,” in Bayesian Time Series Models, D. Barber, A. T. Cemgil and S. Chiappa. Cambridge, USA: Cambridge University Press, 2011, pp. 125–140. 
						
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					 J. Farrell, Aided Navigation: GPS With High Rate Sensors. New York, USA: McGraw Hill, 2008. 
						
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					 T. I. Fossen, K. Y. Pettersen, and R. Galeazzi, “Line-of-sight path following for Dubins paths with adaptive sideslip compensation of drift forces,” IEEE Trans. Control Systems Technology, vol. 23, no. 2, pp. 820–827, 2015. doi:  10.1109/TCST.2014.2338354 
						
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					 T. I. Fossen, Handbook of Marine Craft Hydrodynamics and Motion Control. Hoboken, USA: Wiley, 2011. 
						
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					 C. F. F. Karney, “Algorithms for geodesics,” J. Geodesy, vol. 87, no. 1, pp. 43–55, 2013. doi:  10.1007/s00190-012-0578-z 
						
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					 S. Särkkä and A. Solin, Applied Stochastic Differential Equations. Cambridge, UK: Cambridge University Press, 2019. 
						
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						JAS-2024-0326-supp.pdf
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