Oil Spill Detection Using Multi Remote Piloted Aircraft for the Environmental Monitoring of Sea Aquatorium

[1] Urbahs A., Zavtkevics V. Oil Pollution Monitoring of Sea Aquatorium Features with Using Unmanned Aerial Vehicles. Presented at the 18^th International Conference Kaunas, Lithuania 2014:75–78.Search in Google Scholar

[2] Brekke C., Solbergb A. Oil spill detection by satellite remote sensing [Online]. [Accessed 30.11.2017]. Available: https://pdfs.semanticscholar.org/af8d/474288595d6bb7b1b90e530c16ca17d647c8.pdfSearch in Google Scholar

[3] Muttin F. Modeling of captive Unmanned Aerial System tele detecting oil pollution on sea surface. John Wiley & Sons, 2014. https://doi.org/10.1002/9781119003021.ch710.1002/9781119003021.ch7Search in Google Scholar

[4] Urbahs A., Jonaite I. Features of the use of unmanned aerial vehicles for agriculture applications. Aviation 2013:17:170–175. https://doi.org/10.3846/16487788.2013.86122410.3846/16487788.2013.861224Search in Google Scholar

[5] Fingas M., Brown C. Review of Oil Spill Remote Sensing. Marine Pollution Bulletin 2014:83:9–23. https://doi.org/10.1016/j.marpolbul.2014.03.05910.1016/j.marpolbul.2014.03.05924759508Search in Google Scholar

[6] Urbahs A., Zavtkevics V. Remote Piloted Aircraft using for sampling of oil spill. Presented in the proceedings of Transport Means 2017. The 21^st international scientific conference. Part 2, Kaunas, Lithuania, 2017.Search in Google Scholar

[7] Urbahs A., Zavtkevics V. Remotely Piloted Aircraft route optimization when performing oil pollution monitoring of the sea aquatorium. Aviation 2017:21:170–175. https://doi.org/10.3846/16487788.2017.134413910.3846/16487788.2017.1344139Search in Google Scholar

[8] Dijkstra E. A note on two problems in connection with graphs. Numerische Mathematik 1959:1:269–271. https://doi.org/10.1007/BF0138639010.1007/BF01386390Search in Google Scholar

[9] Dantzig G., Fulkerson R., Johnson S. Solution of a Large-Scale Traveling-Salesman Problem. Journal of the Operations Research Society of America 1954:2:393–410. https://doi.org/10.1287/opre.2.4.39310.1287/opre.2.4.393Search in Google Scholar

[10] Adubi S., Misra S. A comparative study on the ant colony optimization algorithms. Presented in the 11^th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2014.10.1109/ICECCO.2014.6997567Search in Google Scholar

[11] Walter B., Sannier A., Reiners D., Oliver J. UAV Swarm Control: Calculating Digital Pheromone Fields with the GPU. The Journal of Defense Modeling and Simulation Applications, Methodology, Technology 2006:3:167–176. https://doi.org/10.1177%2F15485129060030030410.1177/154851290600300304Search in Google Scholar

[12] Niccolini M., Pollini L., Innocenti L. Cooperative Control for Multiple Autonomous Vehicles Using Descriptor Functions. The Journal of Sensor and Actuator Networks 2014:3:26–43. https://doi.org/10.3390/jsan301002610.3390/jsan3010026Search in Google Scholar

[13] Eaton C., Chong K., Maciejewski A. Multiple-Scenario Unmanned Aerial System Control: A Systems Engineering Approach and Review of Existing Control Methods. Aerospace 2016:3. http://dx.doi.org/10.3390/aerospace301000110.3390/aerospace3010001Search in Google Scholar

[14] Rubio J. C., Vagners J., Rysdyk R. Adaptive path planning for autonomous UAV oceanic search missions. Presented at the Intelligent Systems Technical Conference, Chicago, USA, 2004. https://doi.org/10.2514/6.2004-622810.2514/6.2004-6228Search in Google Scholar

[15] Cottam R., Ranson W., Vounckx R. Autocreative hierarchy II: dynamics self-organization, emergence and level-changing. Presented at the International Conference on Integration of Knowledge Intensive Multi-Agent Systems, Cambridge, USA, 2003. https://doi.org/10.1109/KIMAS.2003.124513410.1109/KIMAS.2003.1245134Search in Google Scholar

[16] Sun A., Liu H. Cooperative UAV Search for Moving Targets Using a Modified Diffusion Uncertainty Model, 2009. http://dx.doi.org/10.2514/6.2009-577910.2514/6.2009-5779Search in Google Scholar

[17] Cummings M., Bruni S., Mercier S., Mitchell P. Automation Architecture for Single Operator, Multiple UAV Command and Control. International C2 Journal 2007.Search in Google Scholar

[18] AeroVations Associates. Autonomous Civil Unmanned Aircraft Systems Software Quality Assessment and Safety Assurance. Autonomous Unmanned Aircraft Systems 2914, 2007.Search in Google Scholar

[19] Belta C., Kumar V. Abstractions and control for groups of robots. IEEE Transactions on Robotics 2004:20:865–875. https://doi.org/10.1109/TRO.2004.82949810.1109/TRO.2004.829498Search in Google Scholar

[20] Bertuccelli L., How J. Robust UAV Search for Environments with Imprecise Probability Maps. Presented at the IEEE Conference on Decision and Control, and the European Control Conference, Seville, Spain, 2005. https://doi.org/10.1109/CDC.2005.158306810.1109/CDC.2005.1583068Search in Google Scholar

[21] Zhang C., Pei H. Oil Spills Boundary Tracking Using Universal Kriging and Model Predictive Control by UAV. Presented at the 11^th World Congress on Intelligent Control and Automation, Shenyang, China, 2014.Search in Google Scholar

[22] Hirsch M. J., Schroeder D. On the Decentralized Cooperative Control of Multiple Autonomous Vehicles. Handbook of Unmanned Aerial Vehicles. Springer, 2015. https://doi.org/10.1007/978-90-481-9707-1_11210.1007/978-90-481-9707-1_112Search in Google Scholar

[23] Beni G. From swarm intelligence to swarm robotics. Swarm Robotics. Berlin: Springer, 2004. https://doi.org/10.1007/978-3-540-30552-1_110.1007/978-3-540-30552-1_1Search in Google Scholar

[24] Fallahi K., Leung H., Chandana S. An Integrated ACO-AHP Approach for Resource Management Optimization. Presented at the IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, USA, 2009.10.1109/ICSMC.2009.5346794Search in Google Scholar

[25] Koparan C., Koc A., Privette C., Sawyer C. Evaluation of a UAV-Assisted Autonomous water Sampling. Water 2018:10(5):655. https://doi.org/10.3390/w1005065510.3390/w10050655Search in Google Scholar

[26] Soysal O., Sahin E. A macroscopic model for self-organized aggregation in swarm robotic systems. Swarm Robotics. Berlin: Springer, 2007:27–42. https://doi.org/10.1007/978-3-540-71541-2_310.1007/978-3-540-71541-2_3Search in Google Scholar

[27] Urbahs A., Zavtkevics V. Unmanned aerial vehicle for collecting samples from the surface of water. EU patent EP3112840 (A1).Search in Google Scholar

[28] Urbahs A., Zavtkevics V. Water sampling method of oil pollution and for analysis using unmanned aerial vehicle with fixed wings and device for method perform. LV patent application P-15-88 2015-08-20.Search in Google Scholar

[29] Kittipongvises S. Assessment of Environmental Impacts of Limestone Quarrying Operations in Thailand. Environmental and Climate Technologies 2017:20:67–83. https://doi.org/10.1515/rtuect-2017-001110.1515/rtuect-2017-0011Search in Google Scholar

[30] Avotniece Z., Briede A., Klavins M., Aniskevich S. Remote Sensing Observations of Thunderstorm Features in Latvia. Environmental and Climate Technologies 2017:21:28–46. https://doi.org/10.1515/rtuect-2017-001410.1515/rtuect-2017-0014Search in Google Scholar

[31] Dagiliute R., Juozapaitiene G. Stakeholders in the EIA Process: What is Important for Them? The Case of Road Construction. Environmental and Climate Technologies 2018:22:69–82. https://doi.org/10.2478/rtuect-2018-000510.2478/rtuect-2018-0005Search in Google Scholar

[32] Bajcinovci B. Environment Quality: Impact from Traffic, Power Plant and Land Morphology, a Case Study of Prishtina. Environmental and Climate Technologies 2017:19:65–74. https://doi.org/10.1515/rtuect-2017-000610.1515/rtuect-2017-0006Search in Google Scholar