Vehicle Localization Method Based on MEMS Sensor Data Comprising Pressure, Acceleration and Angular Velocity

Vehicle Localization Method Based on MEMS Sensor Data Comprising Pressure, Acceleration and Angular Velocity
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基于压力、加速度和角速度MEMS传感器数据的车辆定位方法

DOI：
10.1109/icma54519.2022.9856341
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发表时间：
2022
期刊：
2022 IEEE International Conference on Mechatronics and Automation (ICMA)
影响因子：
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通讯作者：
Taiga Yamagiwa and Takayoshi Yokota
Taiga Yamagiwa and Takayoshi Yokota
中科院分区：
--
文献类型：
--
作者：
Taiga Yamagiwa and Takayoshi Yokota

文献摘要

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The Global Navigation Satellite System (GNSS) is a widely used method for estimating the location of a car, but its accuracy can decrease depending on the reception status of radio waves from the satellite. This study presents a localization method that utilizes atmospheric pressure data, acceleration data, and gyroscope data with only a little help from GNSS. Evaluation results on a fixed road demonstrate the effectiveness of this algorithm, and details are provided for extending it to a more general road network composed of multiple links.