On-Street Parking Spot Detection for Smart Cities

Author(s):  
Sezer Goren ◽  
Dilan Fatma Oncevarlk ◽  
Kemal Doruk Yldz ◽  
Taha Zahit Hakyemez
2006 ◽  
Author(s):  
Tim Weis ◽  
Benjamin May ◽  
Christian Schmidt
Keyword(s):  

Author(s):  
Kristian Adi Nugraha

Smart car parking system has become very important these days because it is very helpful and saves a lot of time to find a parking spot. However, the installation of that system is too expensive, then not everyone can afford it. Affordable solution for car parking spot detection can be implemented using installed camera or CCTV combined with computer vision method. New problem appears if the camera position is limited like indoor building causing one marker shape can be captured in different shape due to the different camera angle. In this work, I do a research to detecting marker using moment invariant method. Even the shape of marker changed a little, moment invariant method can still recognize that shape with overall accuracy 91.94%.


YMER Digital ◽  
2021 ◽  
Vol 20 (12) ◽  
pp. 468-474
Author(s):  
B Gomathi ◽  

Every City in India as well as other countries are moving towards the concept of Smart Cities. Increase in population is directly proportional to the increase in traffic and almost all cities are densely populated. This paper provides a novel approach of identifying the vehicles and appropriately redirecting them to parking slots This Proactive Car Parking System framework encompasses IOT module that is applied to screen and signalize the condition of accessibility of single parking spot. In addition to this it signals in case of empty slot and hence the driver of the vehicle need not waste time in searching the slot. The status on availability of parking is informed in advance and this in turn helps to avoid traffic. The IR sensor with Arduino is used for identifying slots. The proposed system is an embedded system where internet, Sensors, detection of objects and algorithms are used.


Author(s):  
Zhihua Chen ◽  
Jun Qiu ◽  
Bin Sheng ◽  
Ping Li ◽  
Enhua Wu

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