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" Magnopark, smart parking detection based on cellphone magnetic sensor "
Maryam Arab
Nadeem, Tamer
Document Type
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Latin Dissertation
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Language of Document
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English
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Record Number
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804200
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Doc. No
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TL49022
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Call number
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1841126286; 10159406
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Main Entry
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Islam, Md Shafiul
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Title & Author
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Magnopark, smart parking detection based on cellphone magnetic sensor\ Maryam ArabNadeem, Tamer
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College
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Old Dominion University
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Date
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2016
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Degree
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M.S.
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field of study
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Computer Science
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student score
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2016
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Page No
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52
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Note
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Committee members: Olariu, Stephan; Weigle, Michele
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Note
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Place of publication: United States, Ann Arbor; ISBN=978-1-369-14369-0
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Abstract
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We introduce a solution that uses the availability of heavy crowds and their smart devices, to gain more result as to where potential parking is possible. By leveraging the raw magnetometer, gyroscope, and accelerometer data, we are able to detect parking spots through the natural movement exerted by the walking pedestrians on the sidewalks beside the streets. Dating back as far as 2013, a very large portion of pedestrians composing the crowds on the sidewalk, possessed at least one smart device in their hand or pocket14]. It is this statistic that fuels our application, in which we depend on crowds or even a steady rate of pedestrians, telling others around them where unoccupied parking sport are, without making a single bit of noise. In other words, we use the walking pedestrians’ cellphone sensors to classify the sidewalk parking spots as occupied and vacant. The more pedestrians walking on the sidewalk, the more accurate our application works. As the years and technological advances both increase, we predict that the number of smart devices will only increase, allowing our solution to become much more precise and useful. The biggest contribution of our study can be summarized as follows:
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Subject
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Computer science
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Descriptor
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Applied sciences;Crowdsourcing;Mobile application;Mobile internal sensors
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Added Entry
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Nadeem, Tamer
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Added Entry
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Computer ScienceOld Dominion University
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