Neural network-based calibration for accuracy improvement in lateration positioning system
Само за регистроване кориснике
2020
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Mobile robot positioning is a crucial problem in modern industrial autonomous solutions. Lateration Positioning Systems base on the distance measurements to estimate the object's position. These measurements are however often affected by numerous sources of noise: obstacles, multi-pathing, signal propagation speed etc. Effective calibration methods are therefore required to eliminate these errors to achieve precise positioning. In this paper, we present the application of neural networks to improve the accuracy of a UWB lateration system. We present the network architecture and demonstrate how it can be used to alleviate the effects of multi-pathing and environment anisotropy in a real positioning setup. We furthermore compare the efficiency of the neural network with the state-of-the-art calibration methods.
Кључне речи:
Positioning / Neural networks / Navigation / Mobile robots / CalibrationИзвор:
15th International Conference Mechatronic Systems and Materials, MSM 2020, 2020Издавач:
- Institute of Electrical and Electronics Engineers Inc.
Финансирање / пројекти:
- Polish National Agency for Academic Exchange
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Petrović, Milica AU - Wolniakowski, Adam AU - Ciezkowski, M. AU - Romaniuk, Slawomir AU - Miljković, Zoran PY - 2020 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3441 AB - Mobile robot positioning is a crucial problem in modern industrial autonomous solutions. Lateration Positioning Systems base on the distance measurements to estimate the object's position. These measurements are however often affected by numerous sources of noise: obstacles, multi-pathing, signal propagation speed etc. Effective calibration methods are therefore required to eliminate these errors to achieve precise positioning. In this paper, we present the application of neural networks to improve the accuracy of a UWB lateration system. We present the network architecture and demonstrate how it can be used to alleviate the effects of multi-pathing and environment anisotropy in a real positioning setup. We furthermore compare the efficiency of the neural network with the state-of-the-art calibration methods. PB - Institute of Electrical and Electronics Engineers Inc. C3 - 15th International Conference Mechatronic Systems and Materials, MSM 2020 T1 - Neural network-based calibration for accuracy improvement in lateration positioning system DO - 10.1109/MSM49833.2020.9201646 ER -
@conference{ author = "Petrović, Milica and Wolniakowski, Adam and Ciezkowski, M. and Romaniuk, Slawomir and Miljković, Zoran", year = "2020", abstract = "Mobile robot positioning is a crucial problem in modern industrial autonomous solutions. Lateration Positioning Systems base on the distance measurements to estimate the object's position. These measurements are however often affected by numerous sources of noise: obstacles, multi-pathing, signal propagation speed etc. Effective calibration methods are therefore required to eliminate these errors to achieve precise positioning. In this paper, we present the application of neural networks to improve the accuracy of a UWB lateration system. We present the network architecture and demonstrate how it can be used to alleviate the effects of multi-pathing and environment anisotropy in a real positioning setup. We furthermore compare the efficiency of the neural network with the state-of-the-art calibration methods.", publisher = "Institute of Electrical and Electronics Engineers Inc.", journal = "15th International Conference Mechatronic Systems and Materials, MSM 2020", title = "Neural network-based calibration for accuracy improvement in lateration positioning system", doi = "10.1109/MSM49833.2020.9201646" }
Petrović, M., Wolniakowski, A., Ciezkowski, M., Romaniuk, S.,& Miljković, Z.. (2020). Neural network-based calibration for accuracy improvement in lateration positioning system. in 15th International Conference Mechatronic Systems and Materials, MSM 2020 Institute of Electrical and Electronics Engineers Inc... https://doi.org/10.1109/MSM49833.2020.9201646
Petrović M, Wolniakowski A, Ciezkowski M, Romaniuk S, Miljković Z. Neural network-based calibration for accuracy improvement in lateration positioning system. in 15th International Conference Mechatronic Systems and Materials, MSM 2020. 2020;. doi:10.1109/MSM49833.2020.9201646 .
Petrović, Milica, Wolniakowski, Adam, Ciezkowski, M., Romaniuk, Slawomir, Miljković, Zoran, "Neural network-based calibration for accuracy improvement in lateration positioning system" in 15th International Conference Mechatronic Systems and Materials, MSM 2020 (2020), https://doi.org/10.1109/MSM49833.2020.9201646 . .