A Centralized Architecture for Cooperative Air-Sea Vehicles Using UAV-USV
This paper deals with the problem of monitoring and
cleaning dirty zones of oceans using unmanned vehicles. We present
a centralized cooperative architecture for unmanned aerial vehicles
(UAVs) to monitor ocean regions and clean dirty zones with the help
of unmanned surface vehicles (USVs). Due to the rapid deployment
of these unmanned vehicles, it is convenient to use them in oceanic
regions where the water pollution zones are generally unknown. In
order to optimize this process, our solution aims to detect and reduce
the pollution level of the ocean zones while taking into account the
problem of fault tolerance related to these vehicles.
[1] M. Jakob, E. Semsch, D. Pavlıcek and M.Pˇechoucek, “Occlusion-aware
multi-uav surveillance of multiple urban areas,” in: 6th Workshop on
Agents in Traffic and Transportation (ATT 2010). Toronto, Canada, 59–66
(2010).
[2] F. G. El Houssein Chouaib Hari, F. Guinand, J. F. Brethé, and H.
Pelvillain, “Decentralized control architecture for uav-ugv cooperation
(2014)”.
[3] E. Z. MacArthur, D. MacArthur, and C. Crane, “Use of cooperative
unmanned air and ground vehicles for detection and disposal of mines,” in
Proceedings of SPIE—The International Society for Optical Engineering.
Boston, MA, 5999, (2005).
[4] C. E. Hager, H. Kwon, D. Zarzhitsky, and D. Pack, “A cooperative
autonomous system for heterogeneous unmanned aerial and ground
vehicles”. AIAA Infotech@ Aerospace. Louis, Missouri, 2011–1487
(2011).
[5] A. Belbachir, and J.A. Escareno, “Autonomous decisional high-level
planning for uavs-based forest-fire localization,” in: Proceedings of the
13th International Conference on Informatics in Control, Automation and
Robotic (ICINCO). Lisbon, Portugal, 1, 153–159 (2016).
[6] A. Valada, P. Velagapudi, B. Kannan, C. Tomaszewski, G. Kantor, and
P. Scerri, “Development of a low cost multi-robot autonomous marine
surface platform,” in: Field and Service Robotics. Berlin Heidelberg.
Springer, pp. 643–658, 2014.
[7] A. Baba, and R. Chatila, “Experiments with simultaneous environment
mapping and multitarget tracking,” in: The 10th International Symposium
on Experimental Robotics. Rio de Janeiro, Brazil. Springer, vol. 39, pp.
201–210, 2008.
[8] O. Hachour, “Path planning of autonomous mobile robot”. International
journal of systems applications, engineering & development, vol. 2, no.
4, pp. 178–190, 2008.
[9] M. Ghallab, D. Nau, and P. Traverso, “Automated Planning: theory and
practice”. Elsevier (2004).
[10] M. Ghallab, D. Nau, and P. Traverso, “Automated Planning and Acting.
Cambridge University Press (2016)”.
[11] S. Bella, A. Belbachir, and G. Belalem, “A Centralized Autonomous
System of Cooperation for UAVs- Monitoring and USVs- Cleaning”.
International Journal of Software Innovation (IJSI), vol. 6, no. 2, 2017,
to be published.
[12] Regional Aquatics Monitoring Program (RAMP), "Water
Quality Indicators", 1997. Retrieved No-vember 08, 2016, from
http://www.ramp-alberta.org/river/water+sediment+quality/chemical.aspx
[1] M. Jakob, E. Semsch, D. Pavlıcek and M.Pˇechoucek, “Occlusion-aware
multi-uav surveillance of multiple urban areas,” in: 6th Workshop on
Agents in Traffic and Transportation (ATT 2010). Toronto, Canada, 59–66
(2010).
[2] F. G. El Houssein Chouaib Hari, F. Guinand, J. F. Brethé, and H.
Pelvillain, “Decentralized control architecture for uav-ugv cooperation
(2014)”.
[3] E. Z. MacArthur, D. MacArthur, and C. Crane, “Use of cooperative
unmanned air and ground vehicles for detection and disposal of mines,” in
Proceedings of SPIE—The International Society for Optical Engineering.
Boston, MA, 5999, (2005).
[4] C. E. Hager, H. Kwon, D. Zarzhitsky, and D. Pack, “A cooperative
autonomous system for heterogeneous unmanned aerial and ground
vehicles”. AIAA Infotech@ Aerospace. Louis, Missouri, 2011–1487
(2011).
[5] A. Belbachir, and J.A. Escareno, “Autonomous decisional high-level
planning for uavs-based forest-fire localization,” in: Proceedings of the
13th International Conference on Informatics in Control, Automation and
Robotic (ICINCO). Lisbon, Portugal, 1, 153–159 (2016).
[6] A. Valada, P. Velagapudi, B. Kannan, C. Tomaszewski, G. Kantor, and
P. Scerri, “Development of a low cost multi-robot autonomous marine
surface platform,” in: Field and Service Robotics. Berlin Heidelberg.
Springer, pp. 643–658, 2014.
[7] A. Baba, and R. Chatila, “Experiments with simultaneous environment
mapping and multitarget tracking,” in: The 10th International Symposium
on Experimental Robotics. Rio de Janeiro, Brazil. Springer, vol. 39, pp.
201–210, 2008.
[8] O. Hachour, “Path planning of autonomous mobile robot”. International
journal of systems applications, engineering & development, vol. 2, no.
4, pp. 178–190, 2008.
[9] M. Ghallab, D. Nau, and P. Traverso, “Automated Planning: theory and
practice”. Elsevier (2004).
[10] M. Ghallab, D. Nau, and P. Traverso, “Automated Planning and Acting.
Cambridge University Press (2016)”.
[11] S. Bella, A. Belbachir, and G. Belalem, “A Centralized Autonomous
System of Cooperation for UAVs- Monitoring and USVs- Cleaning”.
International Journal of Software Innovation (IJSI), vol. 6, no. 2, 2017,
to be published.
[12] Regional Aquatics Monitoring Program (RAMP), "Water
Quality Indicators", 1997. Retrieved No-vember 08, 2016, from
http://www.ramp-alberta.org/river/water+sediment+quality/chemical.aspx
@article{"International Journal of Information, Control and Computer Sciences:78630", author = "Salima Bella and Assia Belbachir and Ghalem Belalem", title = "A Centralized Architecture for Cooperative Air-Sea Vehicles Using UAV-USV", abstract = "This paper deals with the problem of monitoring and
cleaning dirty zones of oceans using unmanned vehicles. We present
a centralized cooperative architecture for unmanned aerial vehicles
(UAVs) to monitor ocean regions and clean dirty zones with the help
of unmanned surface vehicles (USVs). Due to the rapid deployment
of these unmanned vehicles, it is convenient to use them in oceanic
regions where the water pollution zones are generally unknown. In
order to optimize this process, our solution aims to detect and reduce
the pollution level of the ocean zones while taking into account the
problem of fault tolerance related to these vehicles.", keywords = "Centralized architecture, fault tolerance, UAV, USV.", volume = "13", number = "4", pages = "201-10", }
