Local positioning system for autonomous vertical take-off and landing using ultra-wide band measurement ranging system
S. Akahori, Y. Higashi, and A. Masuda, “Position estimation system with UWB, IMU and a distance sensor for quad-rotors,” in TENCON 2017 - 2017 IEEE Region 10 Conference, pp. 1992–1996, 2017.
V. Mai et al., “Local Positioning System Using UWB Range Measurements for an Unmanned Blimp,” IEEE Robot. Autom. Lett., vol. 3, no. 4, pp. 2971–2978, 2018.
A. Ledergerber and R. D’andrea, “Calibrating Away Inaccuracies in Ultra Wideband Range Measurements: A Maximum Likelihood Approach,” IEEE Access, vol. 6, pp. 78719–78730, 2018.
W. Guosheng, Q. Shuqi, L. Qiang, W. Heng, L. Huican, and L. Bing, “UWB and IMU System Fusion for Indoor Navigation,” in 2018 37th Chinese Control Conference (CCC), 2018, pp. 4946–4950, 2018.
D. Feng, C. Wang, C. He, Y. Zhuang, and X.-G. Xia, “Kalman-Filter-Based Integration of IMU and UWB for High-Accuracy Indoor Positioning and Navigation,” IEEE Internet Things J., vol. 7, no. 4, pp. 3133–3146, 2020.
K. Ren, G. Bernes, M. Hetta, and J. Karlsson, “Tracking and analysing social interactions in dairy cattle with real-time locating system and machine learning,” J. Syst. Archit., vol. 116, p. 102139, 2021.
A. D. Ramadhani, P. Kristalina, and A. Sudarsono, “Performance Evaluation of Refinement Method in Indoor Localization,” in 2018 International Electronics Symposium on Engineering Technology and Applications (IES-ETA), 2018, pp. 183–188, 2018.
R. Giuliano et al., “Indoor Localization System Based on Bluetooth Low Energy for Museum Applications,” Electronics, vol. 9, no. 6, 2020.
M. Pušnik, M. Galun, and B. Šumak, “Improved Bluetooth Low Energy Sensor Detection for Indoor Localization Services,” Sensors, vol. 20, no. 8, 2020.
S. Cheng, S. Wang, W. Guan, H. Xu, and P. Li, “3DLRA: An RFID 3D Indoor Localization Method Based on Deep Learning,” Sensors, vol. 20, no. 9, 2020.
R. D. Ainul, P. Kristalina, and A. Sudarsono, “Hybrid filter scheme for optimizing indoor mobile cooperative tracking system,” Telkomnika (Telecommunication Comput. Electron. Control., vol. 16, no. 6, pp. 2536–2548, 2018.
C. Zhang, N. Qin, Y. Xue, and L. Yang, “Received Signal Strength-Based Indoor Localization Using Hierarchical Classification,” Sensors, vol. 20, no. 4, 2020.
I. Ashraf, S. Hur, S. Park, and Y. Park, “DeepLocate: Smartphone Based Indoor Localization with a Deep Neural Network Ensemble Classifier,” Sensors, vol. 20, no. 1, 2020.
S. Monica and F. Bergenti, “An Algorithm for Accurate and Robust Indoor Localization Based on Nonlinear Programming,” Electronics, vol. 9, no. 1, 2020.
P. Ssekidde, O. Steven Eyobu, D. S. Han, and T. J. Oyana, “Augmented CWT Features for Deep Learning-Based Indoor Localization Using WiFi RSSI Data,” Appl. Sci., vol. 11, no. 4, 2021.
P. Li, X. Yang, Y. Yin, S. Gao, and Q. Niu, “Smartphone-Based Indoor Localization With Integrated Fingerprint Signal,” IEEE Access, vol. 8, pp. 33178–33187, 2020.
T. Koike-Akino, P. Wang, M. Pajovic, H. Sun, and P. V Orlik, “Fingerprinting-Based Indoor Localization With Commercial MMWave WiFi: A Deep Learning Approach,” IEEE Access, vol. 8, pp. 84879–84892, 2020.
X. Peng, R. Chen, K. Yu, F. Ye, and W. Xue, “An Improved Weighted K-Nearest Neighbor Algorithm for Indoor Localization,” Electronics, vol. 9, no. 12, 2020.
H. S. Maghdid, K. Z. Ghafoor, A. Al-Talabani, A. S. Sadiq, P. K. Singh, and D. B. Rawat, “Enabling
accurate indoor localization for different platforms for smart cities using a transfer learning algorithm,” Internet Technol. Lett., vol. n/a, no. n/a, p. e200.
S. Sadowski, P. Spachos, and K. N. Plataniotis, “Memoryless Techniques and Wireless Technologies for Indoor Localization With the Internet of Things,” IEEE Internet Things J., vol. 7, no. 11, pp. 10996–11005, 2020.
S. Ranade and P. V Manivannan, “Quadcopter Obstacle Avoidance and Path Planning Using Flood Fill Method,” in 2019 2nd International Conference on Intelligent Autonomous Systems (ICoIAS), pp. 166–170, 2019.
W. Hönig, J. A. Preiss, T. K. S. Kumar, G. S. Sukhatme, and N. Ayanian, “Trajectory Planning for Quadrotor Swarms,” IEEE Trans. Robot., vol. 34, no. 4, pp. 856–869, 2018.
J. Shen, S. Wang, Y. Zhai, and X. Zhan, “Cooperative relative navigation for multi-UAV systems by exploiting GNSS and peer-to-peer ranging measurements,” IET Radar, Sonar & Navig., vol. 15, no. 1, pp. 21–36, 2021.
F. Gu, S. Valaee, K. Khoshelham, J. Shang, and R. Zhang, “Landmark Graph-Based Indoor Localization,” IEEE Internet Things J., vol. 7, no. 9, pp. 8343–8355, 2020.
I. Ashraf, M. Kang, S. Hur, and Y. Park, “MINLOC:Magnetic Field Patterns-Based Indoor Localization Using Convolutional Neural Networks,” IEEE Access, vol. 8, pp. 66213–66227, 2020.
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