O'Kane, T. and Ringwood, John (2013) Vehicle speed estimation using GPS/RISS (Reduced Inertial Sensor System). Proceedings of the Irish Signals and Systems Conference Letterkenny, Ireland.

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Abstract

Land vehicle speed is usually measured by wheel speed or GPS. While these methods are adequate for some purposes, there are some drawbacks. Wheel speed may differ greatly from vehicle speed due to tyre slip. In addition, speed measured by GPS contains little high frequency information and lags the actual vehicle speed. A method is needed which combines both accuracy and good transient behaviour. This paper describes a method that combines GPS and a Reduced Inertial Sensor System (RISS), in this case a single accelerometer, to achieve an accurate estimate of vehicle speed. Using a Kalman filter, the low frequency accuracy of the GPS and high frequency response of the accelerometer are combined. A number of error correction strategies are applied to provide a robust and accurate measurement system.

Item Type:	Article
Keywords:	Kalman filter; estimation; GPS; RISS; INS; vehicle;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering
Item ID:	6856
Depositing User:	Professor John Ringwood
Date Deposited:	19 Jan 2016 14:52
Journal or Publication Title:	Proceedings of the Irish Signals and Systems Conference Letterkenny, Ireland
Publisher:	ISSC
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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