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- W2767836118 abstract "Localization and mapping of autonomous robots in a hard and unstable environment (Steep Slope Vineyards) is a challenging research topic. Typically, the commonly used dead reckoning systems can fail due to the harsh conditions of the terrain and the Global Position System (GPS) accuracy can be considerably noisy or not always available. One solution is to use wireless sensors in a network as landmarks. This paper evaluates a ultra-wideband time-of-flight based technology (Pozyx), which can be used as cost-effective solution for application in agricultural robots that works in harsh environment. Moreover, this paper implements a Localization Extended Kalman Filter (EKF) that fuses odometry with the Pozyx Range measurements to increase the default Pozyx Algorithm accuracy." @default.
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- W2767836118 date "2017-11-12" @default.
- W2767836118 modified "2023-09-24" @default.
- W2767836118 title "Robot Localization System in a Hard Outdoor Environment" @default.
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- W2767836118 doi "https://doi.org/10.1007/978-3-319-70833-1_18" @default.
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