Port Container Truck Localization Using Sensor Fusion Technique

Adi Suparyanto, R. N. Fatimah, A. Widyotriatmo, Y. Y. Nazaruddin
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引用次数: 2

Abstract

This paper presents a sensor fusion technique to localize container truck using indoor Global Positioning System (iGPS), Radio Frequency Identification (RFID) and Inertial Measurement Unit (IMU) consisting of accelerometer, gyroscope, and magnetometer. A particle filter algorithm is introduced in the technique to fuse the different sensors for the localization. Experiments in an indoor structured environment using container truck miniature were conducted. Fusion of the inertial sensors, iGPS sensors and RFID is able to provide position data accurately with faster update rate than the result of individual sensors. The position monitoring system for the container truck localization was built wirelessly and real-time in this investigation, in order to be able to observe the position of the object at any time. Wireless communication was used to allow the system to be monitored remotely.
基于传感器融合技术的港口集装箱卡车定位
本文提出了一种基于室内全球定位系统(iGPS)、射频识别(RFID)和惯性测量单元(IMU)的集装箱卡车定位传感器融合技术。在该技术中引入粒子滤波算法,融合不同传感器进行定位。在室内结构化环境下,利用小型集装箱卡车进行了实验。惯性传感器、iGPS传感器和RFID的融合能够准确地提供位置数据,比单个传感器的结果更新速度更快。本次调研无线实时搭建了集装箱卡车定位的位置监控系统,以便能够随时观察到目标的位置。无线通信被用于远程监控系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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