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Inertial Sensor-Based Indoor Pedestrian Localization with Minimum 802.15.4a Configuration

机译:具有最小802.15.4a配置的基于惯性传感器的室内行人定位

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Available techniques for indoor object locating systems, such as inertial sensor-based system or radio fingerprinting, hardly satisfy both cost-effectiveness and accuracy. In particular, inertial sensor-based locating systems are often supplemented with radio signals to improve localization accuracy. A radio-assisted localization system is still costly due to the infrastructure requirements and management overheads. In this paper, we propose a low-cost and yet accurate indoor pedestrian localization scheme with a small number of radio beacons whose location information is unknown. Our scheme applies the Simultaneous Location and Mapping (SLAM) technique used in robotics to mobile device, which is equipped with both inertial sensors and the IEEE802.15.4a Chirp Spread Spectrum (CSS) radio, to obtain accurate locations of pedestrians in indoor environment. The proposed system is validated with real implementations. The experiment results show approximately 1.5 m mean error observed during 276 m of pedestrian moving in a 380 ${rm m}^{2}$ indoor environment with five position-unknown beacons.
机译:室内物体定位系统(例如基于惯性传感器的系统或无线电指纹识别)的可用技术几乎无法同时满足成本效益和准确性。特别是,基于惯性传感器的定位系统通常会补充无线电信号以提高定位精度。由于基础设施要求和管理开销,无线电辅助定位系统仍然很昂贵。在本文中,我们提出了一种低成本且精确的室内行人定位方案,该方案具有少量位置未知的无线电信标。我们的方案将机器人技术中使用的同时定位和映射(SLAM)技术应用于移动设备,该设备同时配备了惯性传感器和IEEE802.15.4a线性调频扩频(CSS)无线电,以获得行人在室内环境中的准确位置。所提出的系统已通过实际实施验证。实验结果表明,在380个$ {rm m} ^ {2} $室内环境中,有五个位置未知的信标,在276 m行人移动期间观察到大约1.5 m的平均误差。

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