NDLI: An advanced approach for navigation and image sensor integration for land vehicle navigation

Content Provider	IEEE Xplore Digital Library
Author	Seong-Baek Kim Seung-Yong Lee Tae-Hyun Hwang Kyoung-Ho Choi
Copyright Year	2004
Description	Author affiliation: Telematics Div., ETRI, Daejon, South Korea (Seong-Baek Kim; Seung-Yong Lee; Tae-Hyun Hwang; Kyoung-Ho Choi)
Abstract	In the last couple of decades, the demands of navigation technology have been increasing and the technology has been expanded in several application areas including automated car navigation and mobile mapping systems. However, there has been little research and study on the integration of GPS, IMU, and image sensors such as CCDs, and video cameras. This paper aims at aiding inertial navigation sensors with image sensor measurements and distance measurements even in an environment with no GPS assistance. Using an extended Kalman filtering technique, a novel integration scheme, a multi-modal approach, is presented in this paper for various sensors such as IMU, GPS, odometer, and CCD cameras to improve positioning accuracy. Experimental results show that the proposed multimodal approach can be used to enhance positioning accuracy during GPS outages.
Starting Page	4075
Ending Page	4078
File Size	542625
Page Count	4
File Format	PDF
ISBN	0780385217
ISSN	10903038
DOI	10.1109/VETECF.2004.1404844
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image sensors Land vehicles Global Positioning System Cameras Inertial navigation Distance measurement Kalman filters Filtering Multimodal sensors Charge coupled devices
Content Type	Text
Resource Type	Article

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