A distributed wireless camera system for the management of parking spaces
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00317233" target="_blank" >RIV/68407700:21230/18:00317233 - isvavai.cz</a>
Result on the web
<a href="http://www.mdpi.com/1424-8220/18/1/69" target="_blank" >http://www.mdpi.com/1424-8220/18/1/69</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s18010069" target="_blank" >10.3390/s18010069</a>
Alternative languages
Result language
angličtina
Original language name
A distributed wireless camera system for the management of parking spaces
Original language description
The importance of detection of parking space availability is still growing, particularly in major cities. This paper deals with the design of a distributed wireless camera system for the management of parking spaces, which can determine occupancy of the parking space based on the information from multiple cameras. The proposed system uses small camera modules based on Raspberry Pi Zero and computationally efficient algorithm for the occupancy detection based on the histogram of oriented gradients (HOG) feature descriptor and support vector machine (SVM) classifier. We have included information about the orientation of the vehicle as a supporting feature, which has enabled us to achieve better accuracy. The described solution can deliver occupancy information at the rate of 10 parking spaces per second with more than 90% accuracy in a wide range of conditions. Reliability of the implemented algorithm is evaluated with three different test sets which altogether contain over 700,000 samples of parking spaces.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/GA17-05840S" target="_blank" >GA17-05840S: Multicriteria Optimization of Shift-Variant Imaging System Models</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sensors
ISSN
1424-8220
e-ISSN
1424-8220
Volume of the periodical
18
Issue of the periodical within the volume
1
Country of publishing house
CH - SWITZERLAND
Number of pages
15
Pages from-to
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UT code for WoS article
000423286300068
EID of the result in the Scopus database
2-s2.0-85039917329