[1. Li W. F., Ma W. Y., Simulation on Vessel Intelligent Collision]Search in Google Scholar
[Avoidance Based on Artificial Fish Swarm Algorithm. Polish]Search in Google Scholar
[Maritime Research, 2016, 23:138-143.10.1515/pomr-2016-0058]Search in Google Scholar
[2. Campbell S., Naeem W., Irwin G.W., A review on improving]Search in Google Scholar
[the autonomy of unmanned surface vehicles through intelligent]Search in Google Scholar
[collision avoidance maneuver. Annual Reviews in Control, 2012, 36(2):267-283.10.1016/j.arcontrol.2012.09.008]Search in Google Scholar
[3. Larson J., Bruch M., Halterman R., Rogers J., Webster R., Advances in Autonomous Obstacle Avoidance for Unmanned]Search in Google Scholar
[Surface Vehicles. Space and Naval Warfare Systems Center, San Diego, CA, 2007.]Search in Google Scholar
[4. U.S. department Homeland Security/U.S. Coast Guard, “Navigation Rules,” Paradise Cay Publications, 2010.]Search in Google Scholar
[5. Kim, H., Park, B., Myung, H., Curvature path planning]Search in Google Scholar
[with high resolution graph for unmanned surface vehicle.]Search in Google Scholar
[Robot Intelligence Technology and Applications, 2013, 208:147-154.]Search in Google Scholar
[6. Riccardo P., Sanjay S., Jian W., Andrew M., Robert S., Obstacle Avoidance Approaches for Autonomous Navigation]Search in Google Scholar
[of Unmanned Surface Vehicles. Journal of Navigation, 2017, 71(1): 1-16.]Search in Google Scholar
[7. Kuwata Y., Wolf M. T., Zarzhitsky D., Huntsberger T. L., Safe maritime autonomous navigation with COLREGS, using]Search in Google Scholar
[velocity obstacles, IEEE Journal of Oceanic Engineering, 2014, 39(1):110-119.10.1109/JOE.2013.2254214]Search in Google Scholar
[8. Zhao Y. X., Wang L., Peng Sh., A real-time collision avoidance]Search in Google Scholar
[learning system for Unmanned Surface Vessels. Neurocomputing, 2016, 182:255-266.10.1016/j.neucom.2015.12.028]Search in Google Scholar
[9. Park J. H., Kim J. W., Son N. S., Passive target tracking of marine]Search in Google Scholar
[traffic ships using onboard monocular camera for unmanned]Search in Google Scholar
[surface vessel. Ectronics letters, 2015, 51(31):987-989.10.1049/el.2015.1163]Search in Google Scholar
[10. Wang H., Mou, X. Zh., Mou W., Vision based Long Range]Search in Google Scholar
[Object Detection and Tracking for Unmanned Surface Vehicle.]Search in Google Scholar
[Proceedings of the 2015 7th IEEE International Conference]Search in Google Scholar
[on Cybernetics and Intelligent Systems and Robotics, Automation and Mechatronics, Cambodia, 2015:101-105.]Search in Google Scholar
[11. Lazarowska A., Swarm Intelligence Approach to Safe Ship]Search in Google Scholar
[Control. Polish Maritime Research, 2015, 22(4): 34-40.10.1515/pomr-2015-0068]Search in Google Scholar
[12. Zhong K., Lei X., Li SQ., Wiener filter preprocessing for]Search in Google Scholar
[OFDM systems in the presence of both nonstationary and]Search in Google Scholar
[stationary phase noises. EURASIP Journal on Advances in]Search in Google Scholar
[Signal Processing, 2013(7):1-9.]Search in Google Scholar
[13. Widrow B., Hoff M., Adaptive switch circuits. IRE Wescom, Convertion Record, Part 4, 1966:96-104.]Search in Google Scholar
[14. Wang X., Liu J. H., Zhou Q. F., Real-Time Multi-Target]Search in Google Scholar
[Localization from Unmanned Aerial Vehicles. Sensors, 2016, 17(1):33-43.10.3390/s17010033529860628029145]Search in Google Scholar
[15. Dichev D., Koev H., Bakalova T., An Algorithm for Improving]Search in Google Scholar
[the Accuracy of Systems Measuring Parameters if Moving]Search in Google Scholar
[Objects, Metrology and Measurement Systems, 2016, 23(4):555-565.10.1515/mms-2016-0041]Search in Google Scholar
[16. Borodachev S. M., Recursive Least Squares Method of]Search in Google Scholar
[Regression Coefficients Estimation as a Special Case of Kalman]Search in Google Scholar
[Filter. International Conference on Numerical Analysis and]Search in Google Scholar
[Applied Mathematics, Rhodes, 2015:23-29.]Search in Google Scholar
[17. Singer R. A., Estimating Optimal Tracking Filter Performance]Search in Google Scholar
[for Manned Maneuvering Targets, IEEE Transaction on]Search in Google Scholar
[Aerospace and Electronic Systems, l970, 6(4):473-483.]Search in Google Scholar
[18. Zhou Zh., Liu J. M., Tan X. J., MCS Model Based on Jerk]Search in Google Scholar
[Input Estimation and Nonlinear Tracking Algorithm. Journal]Search in Google Scholar
[of Beijing University of Aeronautics and Astronautics, 2013, 39(10): 1397-1402.]Search in Google Scholar
[19. Zhu W., Wang W., Yuan G., An Improved Interacting Multiple]Search in Google Scholar
[Model Filtering Algorithm Based on the Cubature Kalman]Search in Google Scholar
[Filter for Maneuvering Target Tracking. Sensors, 2016, 16(6): 805-815.10.3390/s16060805493423127258285]Search in Google Scholar
[20. Afshari H. H., Al-Ani D., Habibi S., A New Adaptive Control]Search in Google Scholar
[Scheme Based on the Interacting Multiple Model (IMM)]Search in Google Scholar
[Estimation. Journal of Mechanical Science & Technology, 2016, 30 (6):2759-2767.10.1007/s12206-016-0237-z]Search in Google Scholar
[21. Jin B., Jiu B., Su T., Switched Kalman Filter-Interacting]Search in Google Scholar
[Multiple Model Algorithm Based on Optimal Autoregressive]Search in Google Scholar
[Model for Manoeuvring Target Tracking. IET Radar Sonar]Search in Google Scholar
[and Navigation, 2015, 9(2): 199-209.10.1049/iet-rsn.2014.0142]Search in Google Scholar
[22. Yousef, M. T., Ali, H. E. I., Habashy, S. M., Adaptive Controller]Search in Google Scholar
[based PSO with Virtual Sensor for Obstacle Avoidance in]Search in Google Scholar
[Dynamic Environments, Radio Science Conference, 2014, 228-235.]Search in Google Scholar
[23. Liu Y. Ch., Bucknall R., Path Planning Algorithm for]Search in Google Scholar
[Unmanned Surface Vehicle Formations in a Practical Maritime]Search in Google Scholar
[Environment, Ocean Engineering, 2015, 97:126-144.10.1016/j.oceaneng.2015.01.008]Search in Google Scholar