- -

A Distributed Approach for Collision Avoidance between Multirotor UAVs Following Planned Missions

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

A Distributed Approach for Collision Avoidance between Multirotor UAVs Following Planned Missions

Mostrar el registro completo del ítem

Fabra Collado, FJ.; Zamora-Mero, WJ.; Sangüesa-Escorihuela, JA.; Tavares De Araujo Cesariny Calafate, CM.; Cano, J.; Manzoni, P. (2019). A Distributed Approach for Collision Avoidance between Multirotor UAVs Following Planned Missions. Sensors. 19(10):1-25. https://doi.org/10.3390/s19102404

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/144321

Ficheros en el ítem

Thumbnail
Nombre: FABRA;Zamora-Mero ...
Tamaño: 6.794Mb
Formato: PDF
Descripción: Versión editorial
Abrir/Preview

Metadatos del ítem

Título: A Distributed Approach for Collision Avoidance between Multirotor UAVs Following Planned Missions
Autor: FABRA COLLADO, FRANCISCO JOSE Zamora-Mero, Willian Jesus Sangüesa-Escorihuela, Julio Alberto Tavares De Araujo Cesariny Calafate, Carlos Miguel Cano, Juan-Carlos Manzoni, Pietro
Entidad UPV: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Fecha difusión:
Resumen:
[EN] As the number of potential applications for Unmanned Aerial Vehicles (UAVs) keeps rising steadily, the chances that these devices get close to each other during their flights also increases, causing concerns regarding ...[+]
Palabras clave: Unmanned aerial vehicle , Sense and avoid , Collision avoidance , ArduSim
Derechos de uso: Reconocimiento (by)
Fuente:
Sensors. (eissn: 1424-8220 )
DOI: 10.3390/s19102404
Editorial:
MDPI AG
Versión del editor: https://doi.org/10.3390/s19102404
Código del Proyecto:
info:eu-repo/grantAgreement/UPV//FPI-2017-S1/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096384-B-I00/ES/SOLUCIONES PARA UNA GESTION EFICIENTE DEL TRAFICO VEHICULAR BASADAS EN SISTEMAS Y SERVICIOS EN RED/
Agradecimientos:
This work was partially supported by the "Ministerio de Ciencia, Innovacion y Universidades, Programa Estatal de Investigacion, Desarrollo e Innovacion Orientada a los Retos de la Sociedad, Proyectos I+D+I 2018", Spain, ...[+]
Tipo: Artículo

References

Mohamed, N., Al-Jaroodi, J., Jawhar, I., Idries, A., & Mohammed, F. (2020). Unmanned aerial vehicles applications in future smart cities. Technological Forecasting and Social Change, 153, 119293. doi:10.1016/j.techfore.2018.05.004

SESAR Joint Undertakinghttps://www.sesarju.eu/

Fabra, F., T. Calafate, C., Cano, J.-C., & Manzoni, P. (2018). MBCAP: Mission Based Collision Avoidance Protocol for UAVs. 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA). doi:10.1109/aina.2018.00090 [+]
Mohamed, N., Al-Jaroodi, J., Jawhar, I., Idries, A., & Mohammed, F. (2020). Unmanned aerial vehicles applications in future smart cities. Technological Forecasting and Social Change, 153, 119293. doi:10.1016/j.techfore.2018.05.004

SESAR Joint Undertakinghttps://www.sesarju.eu/

Fabra, F., T. Calafate, C., Cano, J.-C., & Manzoni, P. (2018). MBCAP: Mission Based Collision Avoidance Protocol for UAVs. 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA). doi:10.1109/aina.2018.00090

Drone Collision Avoidancehttps://create.arduino.cc/projecthub/anshulsingh163/drone-collision-avoidance-system-0b6002

Liu, Z., & Foina, A. G. (2016). Feature article: an autonomous quadrotor avoiding a helicopter in low-altitude flights. IEEE Aerospace and Electronic Systems Magazine, 31(9), 30-39. doi:10.1109/maes.2016.150131

Xiang, J., Liu, Y., & Luo, Z. (2016). Flight safety measurements of UAVs in congested airspace. Chinese Journal of Aeronautics, 29(5), 1355-1366. doi:10.1016/j.cja.2016.08.017

Lin, Q., Wang, X., & Wang, Y. (2018). Cooperative Formation and Obstacle Avoidance Algorithm for Multi-UAV System in 3D Environment. 2018 37th Chinese Control Conference (CCC). doi:10.23919/chicc.2018.8483113

Zhou, X., Yu, X., & Peng, X. (2019). UAV Collision Avoidance Based on Varying Cells Strategy. IEEE Transactions on Aerospace and Electronic Systems, 55(4), 1743-1755. doi:10.1109/taes.2018.2875556

Kim, H., & Ben-Othman, J. (2018). A Collision-Free Surveillance System Using Smart UAVs in Multi Domain IoT. IEEE Communications Letters, 22(12), 2587-2590. doi:10.1109/lcomm.2018.2875477

Wang, M., Voos, H., & Su, D. (2018). Robust Online Obstacle Detection and Tracking for Collision-Free Navigation of Multirotor UAVs in Complex Environments. 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV). doi:10.1109/icarcv.2018.8581330

Ma, L. (2018). Cooperative Target Tracking using a Fleet of UAVs with Collision and Obstacle Avoidance. 2018 22nd International Conference on System Theory, Control and Computing (ICSTCC). doi:10.1109/icstcc.2018.8540717

Chen, P.-H., & Lee, C.-Y. (2018). UAVNet: An Efficient Obstacel Detection Model for UAV with Autonomous Flight. 2018 International Conference on Intelligent Autonomous Systems (ICoIAS). doi:10.1109/icoias.2018.8494201

Fabra, F., Calafate, C. T., Cano, J. C., & Manzoni, P. (2018). ArduSim: Accurate and real-time multicopter simulation. Simulation Modelling Practice and Theory, 87, 170-190. doi:10.1016/j.simpat.2018.06.009

Accurate and real-time multi-UAV simulationhttps://bitbucket.org/frafabco/ardusim/src/master/

MAVLink Micro Air Vehicle Communication Protocolhttp://qgroundcontrol.org/mavlink/start

Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18-27. doi:10.1016/j.rse.2017.06.031

NS-2 The Network Simulatorhttp://nsnam.sourceforge.net/wiki/index.php/Main_Page

OMNeT++ Discrete Event Simulatorhttps://omnetpp.org/

Quaternium, Home of the Longest Flight Time Hybrid Dronehttp://www.quaternium.com/

Gauss-Markov Mobilityhttps://doc.omnetpp.org/inet/api-current/neddoc/inet.mobility.single.GaussMarkovMobility.html

Ferrera, E., Alcántara, A., Capitán, J., Castaño, A., Marrón, P., & Ollero, A. (2018). Decentralized 3D Collision Avoidance for Multiple UAVs in Outdoor Environments. Sensors, 18(12), 4101. doi:10.3390/s18124101

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem