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- W2896745089 abstract "Ultra-wideband (UWB) localization is used for the indoor navigation, but the positioning accuracy will be affected by non-line-of-sight (NLOS) environment. And this error is difficult to accept for the indoor navigation. In this work, we mainly study the UWBInertial Measurement Unit (IMU) fusion algorithms based on the extend Kalman filter (EKF) and unscented Kalman filter (UKF). And we put forward an errors complementary extend Kalman filter algorithm for indoor navigation on the NLOS environment. Then, we carry out the experiments with the omnidirectional robot. Through the experiment, we find that the new algorithm is also good for NLOS navigation. Compared with the other two algorithms, the new algorithm reduces the computational complexity." @default.
- W2896745089 created "2018-10-26" @default.
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- W2896745089 date "2018-07-01" @default.
- W2896745089 modified "2023-10-07" @default.
- W2896745089 title "UWB and IMU System Fusion for Indoor Navigation" @default.
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- W2896745089 doi "https://doi.org/10.23919/chicc.2018.8483323" @default.
- W2896745089 hasPublicationYear "2018" @default.
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