Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11450
Title: CROWD-PAN-360: Crowdsourcing Based Context-Aware Panoramic Map Generation for Smartphone Users
Authors: Raychoudhury, V
Shrivastav, S
Sandha, SS
Cao, J 
Keywords: Context-aware
Crowd-sourcing
Location-based services
Smartphone sensing
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on parallel and distributed systems, 2015, v. 26, no. 8, p. 2208-2219 How to cite?
Journal: IEEE transactions on parallel and distributed systems 
Abstract: Recent advances in smartphones and location-aware services necessitate identifying logical locations of users, in terms of their surroundings, instead of raw location coordinates. In this paper, we have proposed CROWD-PAN-360 (CP360), a novel smartphone-based system to generate 360-degree panoramic map of a querying user for his unfamiliar surrounding using crowd-sourced images. The objects (logical locations) appearing in the images are identified using manually or automatically generated tags. The system is context-aware and it intelligently associates user location coordinates with several smartphone contexts, like acceleration and orientation. CP360 can significantly reduce GPS positional errors for even cheap low-end smartphones and can identify the user surroundings very efficiently. We extensively tested the system in both indoor and outdoor environments of IIT Roorkee campus using Android smartphones over a dataset of more than 6,000 crowd-sourced images of nearly 70 objects (departments, hostels, cafeteria, etc.) and CP360 generates the panoramic map with an average accuracy of 92.2 percent.
URI: http://hdl.handle.net/10397/11450
ISSN: 1045-9219
EISSN: 1558-2183
DOI: 10.1109/TPDS.2014.2345067
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