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  • Open Access

    ARTICLE

    Integrating WSN and Laser SLAM for Mobile Robot Indoor Localization

    Gengyu Ge1,2,*, Zhong Qin1, Xin Chen1

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6351-6369, 2023, DOI:10.32604/cmc.2023.035832 - 28 December 2022

    Abstract Localization plays a vital role in the mobile robot navigation system and is a fundamental capability for the following path planning task. In an indoor environment where the global positioning system signal fails or becomes weak, the wireless sensor network (WSN) or simultaneous localization and mapping (SLAM) scheme gradually becomes a research hot spot. WSN method uses received signal strength indicator (RSSI) values to determine the position of the target signal node, however, the orientation of the target node is not clear. Besides, the distance error is large when the indoor signal receives interference. The… More >

  • Open Access

    ARTICLE

    Range-Only UWB SLAM for Indoor Robot Localization Employing Multi-Interval EFIR Rauch-Tung-Striebel Smoother

    Yanli Gao1, Wanfeng Ma2, Jing Cao2, Jianling Qu1 and Yuan Xu2,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 1221-1237, 2022, DOI:10.32604/cmes.2022.017533 - 13 December 2021

    Abstract For improving the localization accuracy, a multi-interval extended finite impulse response (EFIR)-based RauchTung-Striebel (R-T-S) smoother is proposed for the range-only ultra wide band (UWB) simultaneous localization and mapping (SLAM) for robot localization. In this mode, the EFIR R-T-S (ERTS) smoother employs EFIR filter as the forward filter and the R-T-S smoothing method to smooth the EFIR filter’s output. When the east or the north position is considered as stance, the ERTS is used to smooth the position directly. Moreover, the estimation of the UWB Reference Nodes’ (RNs’) position is smoothed by the R-T-S smooth method More >

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