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An Integrated Method for Landing Site Selection and Autonomous Reactive Landing for Multirotors

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Robot 2023: Sixth Iberian Robotics Conference (ROBOT 2023)

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Abstract

Unmanned Aerial Vehicles (UAV) in autonomous operations is an emerging technology with growing applications in several areas, such as agriculture, search and rescue (SaR), and even space exploration. The take-off and particular landing are some of the critical parts of operation. This paper proposes a landing site selection and control algorithm for an autonomous multirotor UAV. The goal is to land the UAV in safe locations as close as possible to a Point of Interest (PoI), mainly in unknown and unsafe terrains. The Landing Site Selection (LSS) algorithm uses terrain features from a 3D pointcloud, Support Vector Machines (SVM) to classify landing safety, and a cost function to compute the best landing site. The algorithm can be used both offline with a 3D map and online with data from a depth sensor. The states of the landing procedure are handled by a high-level state machine and velocity controllers control the UAV. LSS was tested using 3D maps of real scenarios and data from depth camera mounted on a real UAV, and the full autonomous landing system was tested in a simulated environment.

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References

  1. Martinez, O., Cardona, M.: State of the art and future trends on unmanned aerial vehicle. In: 2018 International Conference on Research in Intelligent and Computing in Engineering (RICE), pp. 1–6 (2018)

    Google Scholar 

  2. Islam, N., Rashid, M., Pasandideh, F., Ray, B., Moore, S., Kadel, R.: A review of applications and communication technologies for internet of things and unmanned aerial vehicle based sustainable smart farming. Sustainability 13, 1821 (2021)

    Article  Google Scholar 

  3. Mars Helicopter, NASA Mars Exploration Program. https://mars.nasa.gov/technology/helicopter/. Accessed 22 Oct 2022

  4. Ho, Y.-H., Tsai, Y.-J.: Open collaborative platform for multi-drones to support search and rescue operations. Drones 6, 132 (2022)

    Article  Google Scholar 

  5. Pinto, L., et al.: Radiological Scouting, Monitoring and Inspection Using Drones. Sensors 21(9), 3143 (2021)

    Google Scholar 

  6. Wubben, J., et al.: Accurate landing of unmanned aerial vehicles using ground pattern recognition. Electronics 8(12), 1532 (2019)

    Google Scholar 

  7. Yan, L., Qi, J., Wang, M., Wu, C., Xin, J.: A safe landing site selection method of UAVs based on LiDAR point clouds. In: 2020 39th Chinese Control Conference (CCC), pp. 6497–6502 (2020)

    Google Scholar 

  8. Mango, D., Opromolla, R., Schmitt, C.: Hazard detection and landing site selection for planetary exploration using LIDAR. In: 2020 IEEE 7th International Workshop on Metrology for AeroSpace (MetroAeroSpace), pp. 392–397 (2020)

    Google Scholar 

  9. Derpanis, K.: Overview of the RANSAC algorithm. Image Rochester NY 4, 2–3 (2010)

    Google Scholar 

  10. Mammone, A., Turchi, M., Cristianini, N.: Support vector machines. WIREs. Comput. Stat. 1, 283–289 (2009)

    Article  Google Scholar 

  11. Cervantes, J., García-Lamont, F., Rodríguez, L., Lopez-Chau, A.: A comprehensive survey on support vector machine classification: applications, challenges and trends. Neurocomputing 408, 189–215 (2020)

    Google Scholar 

  12. Cai, G., Chen, B., Lee, T.:Coordinate Systems and Transformations. Unmanned Rotorcraft Systems, pp. 23–34 (2011)

    Google Scholar 

  13. Borase, R., Maghade, D., Sondkar, S., Pawar, S.: A review of PID control, tuning methods and applications. Int. J. Dyn. Contr. 9, 818–827 (2020)

    Article  MathSciNet  Google Scholar 

  14. Robot Operating System. https://www.ros.org/. Accessed 6 Jul 2022

  15. Gazebo Simulation. https://docs.px4.io/v1.12/en/simulation/gazebo.html. Accessed 23 Feb 2023

  16. Introduction to MAVLink Developer Guide. https://mavlink.io/en/. Accessed 7 July 2022

  17. MAVLink extendable communication node for ROS with proxy for Ground Control Station. http://wiki.ros.org/mavros. Accessed 6 Jul 2022

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Acknowledgments

This paper is a result of the project FRIENDS - Fleet of dRones for radIological inspEction, commuNication anD reScue, PTDC/EEI-ROB/28799/2017, supported by the Portuguese Foundation for Science and Technology (FCT), Compete 2020 and Lisboa 2020 under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). Laboratories IPFN and LARSyS (ISR) received financial support from FCT through projects UIDB/50010/2020 and UIDP/50010/2020 and UIDB/50009/2020, respectively.

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Correspondence to Alberto Vale .

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Veiga, N., Vale, A., Ventura, R. (2024). An Integrated Method for Landing Site Selection and Autonomous Reactive Landing for Multirotors. In: Marques, L., Santos, C., Lima, J.L., Tardioli, D., Ferre, M. (eds) Robot 2023: Sixth Iberian Robotics Conference. ROBOT 2023. Lecture Notes in Networks and Systems, vol 978. Springer, Cham. https://doi.org/10.1007/978-3-031-59167-9_24

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