Probabilistic Indoor Positioning and Navigation (PIPN) of Autonomous Ground Vehicle (AGV) Based on Wireless Measurements

نویسندگان

چکیده

Recently, Autonomous Ground Vehicles (AGV) and mobile robots have been rapidly developed in various engineering applications, such as Industry 4.0 factory smart manufacturing. Indoor navigation was one of the most important tasks for systems they were often designed to move from location another autonomously without contacting surrounding objects along moving path a usually dynamic complex indoor environment. There two key steps achieve Simultaneous Localization Mapping (SLAM). First, positioning system based on some measurements done. The second step navigate itself inside map. This very challenging problem because there always existed uncertainties measurements. It desired estimate errors determine safe with high reliability. paper presented methodologies wireless AGV measurement uncertainties. Two kinds trajectories design parameters simulated: linear trajectory curved one. found that both greater number sensors being used trials multilateration could effectively improve accuracy positioning.

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2021

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2021.3057415