NDLI: Accurate localization in dense urban area using Google street view images

Content Provider	IEEE Xplore Digital Library
Author	Salarian, M. Manavella, A. Ansari, R.
Copyright Year	2015
Description	Author affiliation: Sch. of Electr. & Comput. Eng., Univ. of Illinois at Chicago, Chicago, IL, USA (Salarian, M.; Manavella, A.; Ansari, R.)
Abstract	Accurate information about the location and orientation of a camera in mobile devices is central to the utilization of location-based services (LBS). Most of such mobile devices rely on GPS data but this data is subject to inaccuracy due to imperfections in the quality of the signal provided by satellites. This shortcoming has spurred the research into improving the accuracy of localization. Since mobile devices have a camera, a major thrust of this research has been directed at acquiring the local scene and applying image retrieval techniques by querying a GPS-tagged image database to find the best match for the acquired scene. The techniques are however computationally demanding. To overcome the high complexity of those techniques, we investigated the use of inertial sensors as an aid in image-retrieval-based approach. Armed with information of media other than images, such as data from the GPS module along with orientation sensors such as accelerometer and gyro, we sought to limit the number of candidate images that should be considered for finding the best match. Specifically, data from the orientation sensors (heading) along with Dilution of Precision (DOP) from GPS are used to find the angle of view and the estimate of location. We present analysis of the reduction in the image set size for the search as well as simulations to demonstrate the effectiveness in a fast implementation with acceptable location error.
Starting Page	485
Ending Page	490
File Size	880008
Page Count	6
File Format	PDF
e-ISBN	9781467376068
DOI	10.1109/IntelliSys.2015.7361184
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-10
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Google Databases Mobile device TF-IDF Cameras Feature extraction Mobile handsets Sensors GSV LBS Global Positioning System Geotagged-images
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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