A Low-Cost Positioning System for Parallel Tracking Applications of Agricultural Vehicles by Using Kalman Filter - Computer and Computing Technologies in Agriculture V - Part I Access content directly
Conference Papers Year : 2012

A Low-Cost Positioning System for Parallel Tracking Applications of Agricultural Vehicles by Using Kalman Filter

Abstract

A position-velocity (PV) model and a multi-sensor system, consisted of a consumer application GPS, a MEMS gyro, two encoders, and a turning angle sensor, was constructed for the positioning system. The two encoders augmented the positioning accuracy greatly that the fluctuation of vehicle position was greatly smoothed comparing with a GPS-only system. The minimal fluctuation was falling from 2.21 m to 0.52 m (east direction), from 0.68 m to 0.23 m (north direction). The maximum XTE was reduced from 2.5 m to 0.77 m, and the RMS value was improved to 0.22m. The GPS bias error was the major difficulty to produce better performance.
Fichier principal
Vignette du fichier
978-3-642-27281-3_52_Chapter.pdf (4 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01351848 , version 1 (04-08-2016)

Licence

Attribution

Identifiers

Cite

Fangming Zhang, Ximing Feng, Yuan Li, Xiuqin Rao, Di Cui. A Low-Cost Positioning System for Parallel Tracking Applications of Agricultural Vehicles by Using Kalman Filter. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. pp.461-470, ⟨10.1007/978-3-642-27281-3_52⟩. ⟨hal-01351848⟩
66 View
270 Download

Altmetric

Share

Gmail Facebook X LinkedIn More