POSITIONING BASED ON INTEGRATION OF MUTI-SENSOR SYSTEMS USING KALMAN FILTER AND LEAST SQUARE ADJUSTMENT

POSITIONING BASED ON INTEGRATION OF MUTI-SENSOR SYSTEMS USING KALMAN FILTER AND LEAST SQUARE ADJUSTMENT

Sensor fusion is to combine different sensor data from different sources in order to make a more accurate model. In this research, different sensors (Optical Speed Sensor, Bosch Sensor, Odometer, XSENS, Silicon and GPS receiver) have been utilized to obtain different kinds of datasets to implement t...

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Bibliographic Details
Main Authors:	M. Omidalizarandi, Z. Cao
Format:	Article
Language:	English
Published:	Copernicus Publications 2013-09-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W3/309/2013/isprsarchives-XL-1-W3-309-2013.pdf

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