Lightweight Hardware Architecture of EKF-SLAM and Its FPGA Implementation
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-01942-5_74
Reference17 articles.
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2. Quang, N.K., Hieu, N.T., Ha, Q.P.: FPGA-based sensorless PMSM speed control using reduced-order extended Kalman filters. IEEE Trans. Industr. Electron. 61(12), 6574–6582 (2014)
3. Ma, Z., Zhang, X.: FPGA-based sensorless control for PMSM drives using the stator/rotor frame extended Kalman filter. In: 2018 Chinese Control And Decision Conference (CCDC), pp. 102–107. IEEE (2018)
4. Contreras, L., Cruz, S., Mauricio, J., Motta, S.T., Llanos, C.H.: FPGA implementation of the EKF algorithm for localization in mobile robotics using a unified hardware module approach. In: 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig), pp. 1–6 (2015)
5. Bouhoun, S., Sadoun, R., Adnane, M.: OpenCL implementation of a SLAM system on an SoC-FPGA. J. Syst. Architect. 111, 101825 (2020)
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