Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download

https://hal.inria.fr/hal-01351848
Contributor : Hal Ifip <>
Submitted on : Thursday, August 4, 2016 - 5:18:00 PM
Last modification on : Thursday, August 4, 2016 - 5:32:19 PM
Long-term archiving on: : Saturday, November 5, 2016 - 12:12:33 PM

File

978-3-642-27281-3_52_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

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⟩

Share

Metrics

Record views

111

Files downloads

438