Vehicle classification using the convolution neural network approach

• Autorzy: Trivedi Janak , Devi Mandalapu Sarada , Dhara Dave

Identyfikatory

DOI

10.20858/sjsutst.2021.112.7.16

• Języki publikacji: EN

Abstrakty

EN

We present vehicle detection classification using the Convolution Neural Network (CNN) of the deep learning approach. The automatic vehicle classification for traffic surveillance video systems is challenging for the Intelligent Transportation System (ITS) to build a smart city. In this article, three different vehicles: bike, car and truck classification are considered for around 3,000 bikes, 6,000 cars, and 2,000 images of trucks. CNN can automatically absorb and extract different vehicle dataset’s different features without a manual selection of features. The accuracy of CNN is measured in terms of the confidence values of the detected object. The highest confidence value is about 0.99 in the case of the bike category vehicle classification. The automatic vehicle classification supports building an electronic toll collection system and identifying emergency vehicles in the traffic.

Słowa kluczowe

EN

convolution neural network; vehicle classification; deep learning; intelligent transportation system

PL

konwolucyjna sieć neuronowa; klasyfikacja pojazdów; uczenie głębokie; inteligentny system transportowy

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Transport / Politechnika Śląska
• Rocznik: 2021
• Tom: z. 112
• Strony: 201--209
• Opis fizyczny: Bibliogr. 13 poz.

Twórcy

autor

Trivedi Janak

• Faculty of Electronics & Communication Engineering Department, Gujarat Technological University, Government Engineering College Bhavnagar-364002, Gujarat, India

• https://orcid.org/0000-0002-8662-5153

autor

Devi Mandalapu Sarada

• Principal, Ahmedabad Institute of Technolog-380060, Gujarat Technological University, Gujarat, India

• https://orcid.org/0000-0003-4904-1906

autor

Dhara Dave

• Faculty of Electronics & Communication Engineering Department, Gujarat Technological University, Government Engineering College Bhavnagar-364002, Gujarat, India

• https://orcid.org/0000-0002-7724-800X

Bibliografia

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