Parking space occupancy detection using deep learning methods;

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2018

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Institute of Electrical and Electronics Engineers Inc.

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Green Open Access

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Abstract

This paper presents an approach for gathering information about the availabilty of the parking lots using Convoltional Neural Network (CNN) for image processing running on an embedded system. By using an eflicent neural network model, we made it possible to use a very low cost embedded system compared to the ones used in previous works on this topic. This efficient model's performance is compared to one of the models that proved its accuracy in image classification competitions. In these tests, we used datasets that has thousands of different images taken from parking lots in different light and weather conditions. © 2018 IEEE.

Description

Aselsan; et al.; Huawei; IEEE Signal Processing Society; IEEE Turkey Section; Netas

Keywords

Computer Vision, Convolutional Neural Networks, Deep Learning, Smart Cities

Turkish CoHE Thesis Center URL

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- Izmir -- 137780

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Scopus : 8

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