Thermal Feature Detection of Vehicle Categories in the Urban Area

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F21%3A85478" target="_blank" >RIV/60460709:41310/21:85478 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21260/21:00356757

Výsledek na webu

<a href="https://www.mdpi.com/2071-1050/13/12/6873" target="_blank" >https://www.mdpi.com/2071-1050/13/12/6873</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/su13126873" target="_blank" >10.3390/su13126873</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Thermal Feature Detection of Vehicle Categories in the Urban Area

Popis výsledku v původním jazyce

The main goal of this paper is to present new possibilities for the detection and recognition of different categories of electric and conventional (equipped with combustion engines) vehicles using a thermal video camera. The paper presents a draft of a possible detection and classification system of vehicle propulsion systems working with thermal analyses. The differences in thermal features of different vehicle categories were found out and statistically proved. The thermal images were obtained using an infrared thermography camera. They were utilized to design a database of vehicle class images of passenger vehicles (PVs), vans, and buses. The results confirmed the hypothesis that infrared thermography might be used for categorizing the vehicle type according to the thermal features of vehicle exteriors and machine learning methods for vehicle type recognition.

Název v anglickém jazyce

Thermal Feature Detection of Vehicle Categories in the Urban Area

Popis výsledku anglicky

The main goal of this paper is to present new possibilities for the detection and recognition of different categories of electric and conventional (equipped with combustion engines) vehicles using a thermal video camera. The paper presents a draft of a possible detection and classification system of vehicle propulsion systems working with thermal analyses. The differences in thermal features of different vehicle categories were found out and statistically proved. The thermal images were obtained using an infrared thermography camera. They were utilized to design a database of vehicle class images of passenger vehicles (PVs), vans, and buses. The results confirmed the hypothesis that infrared thermography might be used for categorizing the vehicle type according to the thermal features of vehicle exteriors and machine learning methods for vehicle type recognition.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20104 - Transport engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Sustainability

ISSN

2071-1050

e-ISSN

2071-1050

Svazek periodika

13

Číslo periodika v rámci svazku

6873

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

13

Strana od-do

1-13

Kód UT WoS článku

000667365800001

EID výsledku v databázi Scopus

2-s2.0-85109353612