Abstract
A positioning system based on the combination of various measurements is being developed in order to allow precise UAV navigation on GPS denied environments. In the case of study, the task is developed near walls in a closed fully metallic environment with nearly homogeneous floor and walls. This led up to some interesting challenges. The first one regarding RF signal transmission on a metallic environment. Secondly, the difficulty of using SLAM or other computer vision navigation solutions due to the homogeneity of the walls and floor. Finally, a working place located near walls, where positioning systems tend to offer worst accuracy. To overcome these challenges, the proposed positioning method combines an Ultra Wide Band (UWB) based system, for global location, with unidirectional laser range finders, for very precise near-wall measurements. Moreover, RF transmission on various frequencies and results of the proposed positioning precision experiments performed are shown and results analyzed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wing, M.G., Eklund, A., Kellogg, L.D.: Consumer-grade global positioning system (GPS) accuracy and reliability. J. For. 103, 169–173 (2018). https://doi.org/10.1093/jof/103.4.169
Li, X., Ge, M., Dai, X., Ren, X., Fritsche, M., Wickert, J., Schuh, H.: Accuracy and reliability of multi-GNSS real-time precise positioning: GPS, GLONASS, BeiDou, and Galileo. J. Geod. 89, 607–635 (2015). https://doi.org/10.1007/s00190-015-0802-8
Gross, J.N., Gu, Y., Rhudy, M.B.: Robust UAV relative navigation with DGPS, INS, and peer-to-peer radio ranging. IEEE Trans. Autom. Sci. Eng. 12, 935–944 (2015). https://doi.org/10.1109/TASE.2014.2383357
Dwiyasa, F., Lim, M.H.: A survey of problems and approaches in wireless-based indoor positioning. In: 2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016, pp. 4–7 (2016). https://doi.org/10.1109/IPIN.2016.7743591
Wu, Z.H., Han, Y., Chen, Y., Liu, K.J.R.: A time-reversal paradigm for indoor positioning system. IEEE Trans. Veh. Technol. 64, 1331–1339 (2015). https://doi.org/10.1109/TVT.2015.2397437
Gueuning, F.E., Varlan, M., Eugène, C.E., Dupuis, P.: Accurate distance measurement by an autonomous ultrasonic system combining time-of-flight and phase-shift methods. IEEE Trans. Instrum. Meas. 46, 1236–1240 (1997). https://doi.org/10.1109/19.668260
Liu, H., Darabi, H., Banerjee, P., Liu, J.: Survey of wireless indoor positioning techniques and systems. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 37, 1067–1080 (2007). https://doi.org/10.1109/TSMCC.2007.905750
Brena, R.F., García-Vázquez, J.P., Galván-Tejada, C.E., Muñoz-Rodriguez, D., Vargas-Rosales, C., Fangmeyer, J.: Evolution of indoor positioning technologies: a survey. J. Sens. 2017 (2017). https://doi.org/10.1155/2017/2630413
Retscher, G., Moser, E., Vredeveld, D., Heberling, D.: Performance and accuracy test of the WLAN indoor positioning system “ipos” principle of WLAN positioning. In: Presenting 3rd Workshop on Positioning, Navigation and Communication, WPNC 2006, University Hannover, Germany, pp. 7–16 (2006)
Faragher, R., Faragher, R., Harle, R.: An analysis of the accuracy of bluetooth low energy for indoor positioning applications (2009)
Zhang, D., Xia, F., Yang, Z., Yao, L., Zhao, W.: Localization technologies for indoor human tracking. In: Proceedings of the 2010 5th International Conference on Future Information Technology, Future 2010, pp. 1–6 (2010). https://doi.org/10.1109/FUTURETECH.2010.5482731
Shi, G., Ming, Y.: Survey of indoor positioning systems based on ultra-wideband (UWB) technology, vol. 348, pp. 1269–1278 (2016). https://doi.org/10.1007/978-81-322-2580-5
Li, R., Liu, J., Zhang, L., Hang, Y.: LIDAR/MEMS IMU integrated navigation (SLAM) method for a small UAV in indoor environments. In: Proceedings of the 2014 DGON Inertial Sensors and Systems, ISS 2014, pp. 1–15 (2014). https://doi.org/10.1109/InertialSensors.2014.7049479
Kara Mohamed, M., Patra, S., Lanzon, A.: Designing simple indoor navigation system for UAVs. In: 2011 19th Mediterranean Conference on Control & Automation, MED 2011, pp. 1223–1228 (2011). https://doi.org/10.1109/MED.2011.5983054
García Carrillo, L.R., Dzul López, A.E., Lozano, R., Pégard, C.: Combining stereo vision and inertial navigation system for a quad-rotor UAV. J. Intell. Robot. Syst. Theory Appl. 65, 373–387 (2012). https://doi.org/10.1007/s10846-011-9571-7
Benini, A., Mancini, A., Longhi, S.: An IMU/UWB/vision-based extended kalman filter for mini-UAV localization in indoor environment using 802.15.4a wireless sensor network. J. Intell. Robot. Syst. Theory Appl. 70, 461–476 (2013). https://doi.org/10.1007/s10846-012-9742-1
Bodie, K., Brunner, M., Pantic, M., Walser, S., Pfändler, P., Angst, U., Siegwart, R., Nieto, J.: An omnidirectional aerial manipulation platform for contact-based inspection (2019)
Ikeda, T., Yasui, S., Fujihara, M., Ohara, K., Ashizawa, S., Ichikawa, A., Okino, A., Oomichi, T., Fukuda, T.: Wall contact by octo-rotor UAV with one DoF manipulator for bridge inspection. In: IEEE International Conference on Intelligent Robots and Systems, September 2017, pp. 5122–5127 (2017). https://doi.org/10.1109/IROS.2017.8206398
Myeong, W., Myung, H.: Development of a wall-climbing drone capable of vertical soft landing using a tilt-rotor mechanism. IEEE Access 7, 4868–4879 (2019). https://doi.org/10.1109/ACCESS.2018.2889686
Kamel, M., Verling, S., Elkhatib, O., Sprecher, C., Wulkop, P., Taylor, Z., Siegwart, R., Gilitschenski, I.: Voliro: an omnidirectional hexacopter with tiltable rotors (2018). https://doi.org/10.1109/MRA.2018.2866758
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Orjales, F., Losada-Pita, J., Paz-Lopez, A., Deibe, A. (2020). Positioning System for UAV Precision Tasks Near Walls in GPS Denied and Metallic Environments. In: Silva, M., Luís Lima, J., Reis, L., Sanfeliu, A., Tardioli, D. (eds) Robot 2019: Fourth Iberian Robotics Conference. ROBOT 2019. Advances in Intelligent Systems and Computing, vol 1093. Springer, Cham. https://doi.org/10.1007/978-3-030-36150-1_26
Download citation
DOI: https://doi.org/10.1007/978-3-030-36150-1_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-36149-5
Online ISBN: 978-3-030-36150-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)