Drones na Cidade Grande: Reduzindo Colisões em Entregas Aéreas
Abstract
Delivery companies have already started to perform small-scale tests with drones. In general, to comply with big cities, it is necessary to consider a large number of drones. In this scenario, it is fundamental to avoid collisions with other drones or typical obstacles of urban spaces. This paper proposes a geometric collision avoidance strategy called GeoDrone, which has its effectiveness compared with two approaches: keeping the original route and a literature geometric procedure. GeoDrone reduced the collisions to up to 14.5 times related to the literature procedure. We conclude that geometric strategies substantially reduce the collisions in this scenario but do not eliminate them, indicating the necessity of specifying more sophisticated approaches.
References
Al-Mousa, A., Sababha, B. H., Al-Madi, N., Barghouthi, A., and Younisse, R. (2019). UTSim: A framework and simulator for UAV air traffic integration, control, and communication. International Journal of Advanced Robotic Systems, 16(5):1729881419870937.
Ayamga, M., Akaba, S., and Nyaaba, A. A. (2021). Multifaceted applicability of drones: A review. Technological Forecasting and Social Change, 167:120677.
Chen, K.-W., Xie, M.-R., Chen, Y.-M., Chu, T.-T., and Lin, Y.-B. (2022). DroneTalk: An Internet-of-Things-Based Drone System for Last-Mile Drone Delivery. IEEE Transactions on Intelligent Transportation Systems, pages 1-14.
Choi, D. and Kim, D. (2020). Enhanced Potential Field-Based Collision Avoidance for Unmanned Aerial Vehicles in a Dynamic Environment. Journal of Intelligent & Robotic Systems, pages 1-7.
Craighead, J., Murphy, R., Burke, J., and Goldiez, B. (2007). A survey of commercial open source unmanned vehicle simulators. In Proceedings 2007 IEEE International Conference on Robotics and Automation, pages 852-857.
de Oliveira, F. M. C., Bittencourt, L. F., and Kamienski, C. A. (16 de agosto de 2021). Prevenção de colisóƒes em serviços de entregas por drones em cidades inteligentes. In V Workshop de Computação Urbana (CoUrb 2021), pages 182-195, Porto Alegre, RS, Brasil. Sociedade Brasileira de Computação (SBC).
DJI (2022). Comparação de Drones de Consumo. https://www.dji.com/br/products/compare-consumer-drones. Acessado em 19 de abril de 2022.
Frachtenberg, E. (2019). Practical drone delivery. Computer, 52(12):53-57.
Gageik, N., Benz, P., and Montenegro, S. (2015). Obstacle Detection and Collision Avoidance for a UAV With Complementary Low-Cost Sensors. IEEE Access, 3:599-609.
Guan, X., Lyu, R., Shi, H., and Chen, J. (2020). A survey of safety separation management and collision avoidance approaches of civil UAS operating in integration national airspace system. Chinese Journal of Aeronautics, 33(11):2851-2863. SI: Emerging Technologies of Unmanned Aerial Vehicles.
Hentati, A. I., Krichen, L., Fourati, M., and Fourati, L. C. (2018). Simulation tools, environments and frameworks for uav systems performance analysis. In 2018 14th International Wireless Communications Mobile Computing Conference (IWCMC), pages 1495-1500.
Kasliwal, A., Furbush, N. J., Gawron, J. H., McBride, J. R., Wallington, T. J., De Kleine, R. D., Kim, H. C., and Keoleian, G. A. (2019). Role of flying cars in sustainable mobility. Nature communications, 10(1):1-9.
Kleinbekman, I. C., Mitici, M. A., and Wei, P. (2018). eVTOL arrival sequencing and scheduling for on-demand urban air mobility. In 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), pages 1-7. IEEE.
Mairaj, A., Baba, A. I., and Javaid, A. Y. (2019). Application specific drone simulators: Recent advances and challenges. Simulation Modelling Practice and Theory, 94:100-117.
Seo, J., Kim, Y., Kim, S., and Tsourdos, A. (2017). Collision Avoidance Strategies for Unmanned Aerial Vehicles in Formation Flight. IEEE Transactions on Aerospace and Electronic Systems, 53(6):2718-2734.
Sánchez, P., Casado, R., and Bermúdez, A. (2020). Real-Time Collision-Free Navigation of Multiple UAVs Based on Bounding Boxes. Electronics, 9(10).
Yang, X. and Wei, P. (2021). Autonomous free flight operations in urban air mobility with computational guidance and collision avoidance. IEEE Transactions on Intelligent Transportation Systems.
Yasin, J. N., Mohamed, S. A. S., Haghbayan, M.-H., Heikkonen, J., Tenhunen, H., and Plosila, J. (2020). Unmanned Aerial Vehicles (UAVs): Collision Avoidance Systems and Approaches. IEEE Access, 8:105139-105155.
Ayamga, M., Akaba, S., and Nyaaba, A. A. (2021). Multifaceted applicability of drones: A review. Technological Forecasting and Social Change, 167:120677.
Chen, K.-W., Xie, M.-R., Chen, Y.-M., Chu, T.-T., and Lin, Y.-B. (2022). DroneTalk: An Internet-of-Things-Based Drone System for Last-Mile Drone Delivery. IEEE Transactions on Intelligent Transportation Systems, pages 1-14.
Choi, D. and Kim, D. (2020). Enhanced Potential Field-Based Collision Avoidance for Unmanned Aerial Vehicles in a Dynamic Environment. Journal of Intelligent & Robotic Systems, pages 1-7.
Craighead, J., Murphy, R., Burke, J., and Goldiez, B. (2007). A survey of commercial open source unmanned vehicle simulators. In Proceedings 2007 IEEE International Conference on Robotics and Automation, pages 852-857.
de Oliveira, F. M. C., Bittencourt, L. F., and Kamienski, C. A. (16 de agosto de 2021). Prevenção de colisóƒes em serviços de entregas por drones em cidades inteligentes. In V Workshop de Computação Urbana (CoUrb 2021), pages 182-195, Porto Alegre, RS, Brasil. Sociedade Brasileira de Computação (SBC).
DJI (2022). Comparação de Drones de Consumo. https://www.dji.com/br/products/compare-consumer-drones. Acessado em 19 de abril de 2022.
Frachtenberg, E. (2019). Practical drone delivery. Computer, 52(12):53-57.
Gageik, N., Benz, P., and Montenegro, S. (2015). Obstacle Detection and Collision Avoidance for a UAV With Complementary Low-Cost Sensors. IEEE Access, 3:599-609.
Guan, X., Lyu, R., Shi, H., and Chen, J. (2020). A survey of safety separation management and collision avoidance approaches of civil UAS operating in integration national airspace system. Chinese Journal of Aeronautics, 33(11):2851-2863. SI: Emerging Technologies of Unmanned Aerial Vehicles.
Hentati, A. I., Krichen, L., Fourati, M., and Fourati, L. C. (2018). Simulation tools, environments and frameworks for uav systems performance analysis. In 2018 14th International Wireless Communications Mobile Computing Conference (IWCMC), pages 1495-1500.
Kasliwal, A., Furbush, N. J., Gawron, J. H., McBride, J. R., Wallington, T. J., De Kleine, R. D., Kim, H. C., and Keoleian, G. A. (2019). Role of flying cars in sustainable mobility. Nature communications, 10(1):1-9.
Kleinbekman, I. C., Mitici, M. A., and Wei, P. (2018). eVTOL arrival sequencing and scheduling for on-demand urban air mobility. In 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), pages 1-7. IEEE.
Mairaj, A., Baba, A. I., and Javaid, A. Y. (2019). Application specific drone simulators: Recent advances and challenges. Simulation Modelling Practice and Theory, 94:100-117.
Seo, J., Kim, Y., Kim, S., and Tsourdos, A. (2017). Collision Avoidance Strategies for Unmanned Aerial Vehicles in Formation Flight. IEEE Transactions on Aerospace and Electronic Systems, 53(6):2718-2734.
Sánchez, P., Casado, R., and Bermúdez, A. (2020). Real-Time Collision-Free Navigation of Multiple UAVs Based on Bounding Boxes. Electronics, 9(10).
Yang, X. and Wei, P. (2021). Autonomous free flight operations in urban air mobility with computational guidance and collision avoidance. IEEE Transactions on Intelligent Transportation Systems.
Yasin, J. N., Mohamed, S. A. S., Haghbayan, M.-H., Heikkonen, J., Tenhunen, H., and Plosila, J. (2020). Unmanned Aerial Vehicles (UAVs): Collision Avoidance Systems and Approaches. IEEE Access, 8:105139-105155.
Published
2022-05-23
How to Cite
OLIVEIRA, Fabíola M. C. de; BITTENCOURT, Luiz F.; BIANCHI, Reinaldo A. C.; KAMIENSKI, Carlos A..
Drones na Cidade Grande: Reduzindo Colisões em Entregas Aéreas. In: URBAN COMPUTING WORKSHOP (COURB), 6. , 2022, Fortaleza.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 84-97.
ISSN 2595-2706.
DOI: https://doi.org/10.5753/courb.2022.223462.
