References
- 1. Barton A., Volna E.: Control of Autonomous Robot using Neural Networks. Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2016 (ICNAAM-2016), vol. 1863, Rhodes, Greece 2016.
- 2. Burdziakowski P., Szulwic J.: A commercial of the shelf components for a unmanned air vehicle photogrammetry, 16th International Multidisciplinary Scientific GeoConference SGEM 2016, Albena, Bulgaria, 2016
- 3. Droeschel D., Schwarz M. Behnke S.: Continuous mapping and localization for autonomous navigation in rough terrain using a 3D laser scanner, Robotics and Autonomous Systems, vol. 88, pp. 104-115, 2017.
- 4. Guan R.P., Ristic B., Wang L.P. et al.: Feature-based robot navigation using a Doppler-azimuth radar, International Journal of Control, vol. 90, issue 4, pp. 888-900, 2017.
- 5. Guerrero J.A., Jaud M., Lenain R. et al.: Towards LIDARRADAR based Terrain Mapping, 2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO), Lyon, France, 2015.
- 6. Guo W., Wang S., Dun W.: The Design of a Control System for an Unmanned Surface Vehicle, Open Autom. Control Syst. J., vol. 7, pp. 150–156, 2015.
- 7. Hollinger J., Kutscher B. Close B.: Fusion of Lidar and Radar for detection of partially obscured objects. Unmanned Systems Technology XVII, Baltimore, MD, vol. 9468, 2015.
- 8. Huang L., Chen S., Zhang J. et al.: Real-Time Motion Tracking for Indoor Moving Sphere Objects with a LiDAR Sensor, Sensors, vol. 17, issue 9, 2017.
- 9. Jeon H.C., Park Y.B., Park C.G.: Robust Performance of Terrain Referenced Navigation Using Flash Lidar, Proceedings of the 2016 IEEE/Ion Position, Location and Navigation Symposium (PLANS), pp. 970-975, Savannah, GA, 2016
- 10. Jiang Z., Wang J., Song Q.et al.: Off-road obstacle sensing using synthetic aperture radar interferometry, Journal of Applied Remote Sensing, vol. 11, 2017.
- 11. Jo J., Tsunoda Y., Stantic B. et al.: A Likelihood-Based Data Fusion Model for the Integration of Multiple Sensor Data: A Case Study with Vision and Lidar Sensors. Robot Intelligence Technology And Applications 4, vol. 447, pp. 489-500, 2017.
- 12. Jooho L., Joohyun W., Nakwan K.: Obstacle Avoidance and Target Search of an Autonomous Surface Vehicle for 2016 Maritime RobotX Challenge. IEEE OES International Symposium on Underwater Technology (UT), Busan, South Korea, 2017.
- 13. Kazimierski, W., Stateczny, A.: Fusion of Data from AIS and Tracking Radar for the Needs of ECDIS. Book Group Author(s): IEEE Conference: Signal Processing Symposium (SPS), Jachranka, Poland, 2013.
- 14. Ko B., Choi H.J., Hong C. et al.: Neural Network-based Autonomous Navigation for a Homecare Mobile Robot. 2017 IEEE International Conference On Big Data And Smart Computing (BIGCOMP), pp. 403-406, Jeju, South Korea, 2017.
- 15. Lil J., Bao H., Han X. et al.: Real-time self-driving car navigation and obstacle avoidance using mobile 3D laser scanner and GNSS. Multimedia Tools and Applications, vol. 76, pp. 23017-23039, part B, 2016.
- 16. Lisowski J: Optimization-supported decision-making in the marine game environment. Mechatronic Systems, Mechanics And Materials II, Book Series: Solid State Phenomena, vol. 210, pp. 215-222, 2014.
- 17. Lisowski J: The optimal and safe ship trajectories for different forms of neural state constraints. Mechanics and Materials II, Book Series: Solid State Phenomena, vol.180, pp. 64-69, 2012.
- 18. Mei J.H., Arshad M.R.: COLREGs Based Navigation of Riverine Autonomous Surface Vehicle. IEEE 6TH International Conference on Underwater System Technology, pp.145-149, Malaysia, 2016.
- 19. Mikhail M., Carmack N.: Navigation Software System Development for a Mobile Robot to Avoid Obstacles in a Dynamic Environment using Laser Sensor, SOUTHEASTCON 2017, Charlotte, NC, 2017.
- 20. Praczyk T.: Neural anti-collision system for Autonomous Surface Vehicle, Neurocomputing, vol. 149, pp. 559-572, 2015.
- 21. Specht C, Weintrit A., Specht M.: Determination of the territorial sea baseline - Aspect of Using Unmanned Hydrographic Vessels, Transnav-International Journal on Marine Navigation and Safety of Sea Transportation, vol. 10, pp. 649-654, 2016.
- 22. Specht C. Switalski E., Specht M.: Application of an Autonomous /Unmanned Survey Vessel (ASV/USV) in bathymetric measurements, Polish Maritime Research, No. 24, pp.36-44, 2017.
- 23. Stateczny A., Gronska D., Motyl W.: Hydrodron - New Step for Professional Hydrography for Restricted Waters, 2018 Baltic Geodetic Congress (BGC Geomatics), pp. 226–230, Olsztyn, Poland, 2018.
- 24. Williams G.M.: Optimization of eye-safe avalanche photodiode lidar for automobile safety and autonomous navigation systems, Optical Engineering, vol. 56, issue 3, 2017.