Modelling Oil-Spill Detection with Swarm Drones

作者: F. Aznar , M. Sempere , M. Pujol , R. Rizo , M. J. Pujol

DOI: 10.1155/2014/949407

关键词: Swarm roboticsScalabilityFlexibility (engineering)MathematicsResource (project management)Robustness (computer science)DroneSwarm behaviourDistributed computingRobot

摘要: Nowadays, swarm robotics research is having a great increase due to the benefits derived from its use, such as robustness, parallelism, and flexibility. Unlike distributed robotic systems, emphasizes large number of robots, promotes scalability. Among multiple applications systems we could find are exploring unstructured environments, resource monitoring, or sensing. Two these applications, perimeter/area detection given resource, have several ecological uses. One them monitoring pollutants delimit their perimeter area accurately. Maritime activity has been increasing gradually in recent years. Many ships carry products oil that can adversely affect environment. Such produce high levels pollution case being spilled into sea. In this paper will present system which monitors, covers, surrounds by using homogeneous low cost drones. These drones only use local sensory information do not require any direct communication between them. Taking account properties kind spills microscopic model for drones, capable properly. Furthermore, analyse proper macroscopic operation swarm. The analytical experimental results presented here show evolution our system.

参考文章(17)
Liviu Panait, Claudio Cioffi-Revilla, Sean Luke, Keith Sullivan, MASON: A New Multi-Agent Simulation Toolkit ,(2004)
Gerardo Beni, From swarm intelligence to swarm robotics SAB'04 Proceedings of the 2004 international conference on Swarm Robotics. pp. 1- 9 ,(2004) , 10.1007/978-3-540-30552-1_1
Erol Şahin, Marco Dorigo, Swarm Robotics: Special Issue Editorial Autonomous Robots. ,vol. 17, pp. 111- 113 ,(2004)
Onur Soysal, Erol Şahin, A macroscopic model for self-organized aggregation in swarm robotic systems SAB'06 Proceedings of the 2nd international conference on Swarm robotics. pp. 27- 42 ,(2006) , 10.1007/978-3-540-71541-2_3
Joan Albaigés, Ana Bernabeu, Sonia Castanedo, Núria Jiménez, Carmen Morales-Caselles, Araceli Puente, Lucía Viñas, The Prestige Oil Spill John Wiley & Sons, Ltd. pp. 513- 545 ,(2015) , 10.1002/9781118989982.CH22
Javier I. Medina-Bellver, Patricia Marín, Antonio Delgado, Alicia Rodríguez-Sánchez, Emilio Reyes, Juan L. Ramos, Silvia Marqués, Evidence for in situ crude oil biodegradation after the Prestige oil spill Environmental Microbiology. ,vol. 7, pp. 773- 779 ,(2005) , 10.1111/J.1462-2920.2005.00742.X
Camilla Brekke, Anne H.S. Solberg, Oil spill detection by satellite remote sensing Remote Sensing of Environment. ,vol. 95, pp. 1- 13 ,(2005) , 10.1016/J.RSE.2004.11.015
Heiko Hamann, Heinz Wörn, A framework of space–time continuous models for algorithm design in swarm robotics Swarm Intelligence. ,vol. 2, pp. 209- 239 ,(2008) , 10.1007/S11721-008-0015-3
F. Nirchio, M. Sorgente, A. Giancaspro, W. Biamino, E. Parisato, R. Ravera, P. Trivero, Automatic detection of oil spills from SAR images International Journal of Remote Sensing. ,vol. 26, pp. 1157- 1174 ,(2005) , 10.1080/01431160512331326558
K. Karantzalos, D. Argialas, Automatic detection and tracking of oil spills in SAR imagery with level set segmentation International Journal of Remote Sensing. ,vol. 29, pp. 6281- 6296 ,(2008) , 10.1080/01431160802175488