[1]
梁山, 唐诚, 赖珍宝, 等. 控制河段船舶通行智能辅助指挥系统及指挥方法:中国, 201110066295.9[P]。2011-11-09.
[2]
靳智, 梁山, 曹芳平. 基于AIS的长江控制河段船舶视觉伺服跟踪研究[J]. joca, 2011, 31(12): 3414-3417.
[3]
IALA. Technical clarifications on recomendation ITU-R M.1371-1 ed 1.4[S]. IALA: IALA, 2003: 8-9.
[4]
王敏, 吴向军. 匀速或匀加速运动目标的位置预测问题的分析[J]. 船舶工程, 1995(3): 40-48.
[5]
王艳锋, 李红祥. 桥区水域失控船舶的航迹预测[J]. 武汉船舶职业技术学院学报, 2011, 10(4): 36-38.
[6]
SIMSIR U, ERTUGRUL S. Prediction of manually controlled vessels' position and course navigating in narrow waterways using Artificial Neural Networks [J]. Applied Soft Computing, 2009, 9(4):1217-1224.
[7]
CHEN JINHAI, HU QINYOU, ZHAO RENYU, et al. Tracking a vessel by combining video and AIS reports[C]// Proceedings of IEEE 2nd International Conference on Future Generation Communication and Networking. Washington, DC: IEEE Computer Society, 2008: 374-378.
[8]
WENG S-K, KUO C M, TU S-K. Video object tracking using adaptive Kalman filter[J]. Journal of Visual Communication and Image Representation, 2006, 17(6): 1190-1208.
[9]
刘健, 刘高峰. 高斯——克吕格投影下的坐标变换算法研究[J]. 计算机仿真, 2005, 22(10): 119-121.
[10]
BULUT Y, VINES-CAVANAUGH D, BERNAL D. Process and measurement noise estimation for Kalman filtering[C]// Conference Proceedings of the Society for Experimental Mechanics Series. Berlin:Springer, 2011:375-386.
[11]
SUN SHU LI. Multi-sensor optimal fusion fixed-interval Kalman smoothers[J]. Information Fusion, 2008, 9(2): 293-299.
[12]
YIM J, JOO J, PARK C. A Kalman filter updating method for the indoor moving object database[J]. Expert Systems with Applications, 2011, 38(12): 15075-15083.
[13]
WELCH G, BISHOP G. An introduction to the Kalman filter[EB/OL]. [2012-02-18]. http://www.cs.u-nc.edu/~welch/kalman/kalmanIntro.html.
[14]
臧晓蕾. 基于卡尔曼滤波器的船用雷达运动目标跟踪算法研究及性能分析[D]. 大连:大连海事大学, 2011. |