Use of One-Stage Detector and Feature Detector in Infrared Video on Transport Infrastructure and Tunnels

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F23%3A97762" target="_blank" >RIV/60460709:41310/23:97762 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21260/23:00365124

Výsledek na webu

<a href="https://www.mdpi.com/2071-1050/15/3/2122" target="_blank" >https://www.mdpi.com/2071-1050/15/3/2122</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/su15032122" target="_blank" >10.3390/su15032122</a>

Jazyk výsledku

čeština

Název v původním jazyce

Use of One-Stage Detector and Feature Detector in Infrared Video on Transport Infrastructure and Tunnels

Popis výsledku v původním jazyce

This article presents the use of the combination of the object detection method and feature detector in an infrared video on traffic infrastructure and in tunnels. The theme of the paper is the validation of vehicle detection and its classification using infrared video streams. In addition, the article focuses on the use of a feature detector and object detection to distinguish between vehicles with electric and combustion motors. The method suggests the use of a low-resolution thermal camera as an inexpensive extension of installed thermal camera technologies. The developed system has been verified for the applicability of vehicle detection and classification using object detection methods and their application in transport infrastructure and tunnels. It also presents a method for distinguishing propulsion units into electric and internal combustion; both systems’ conclusions are then statistically verified. The application of the system is evident in regional traffic management systems, including safety applications for traffic control in tunnels. Categorizing vehicles provides valuable information for higher levels of traffic management, toll systems, and municipal database systems, as well as for a preventive system for estimating vehicle conditions and their potential of fire in tunnels.

Název v anglickém jazyce

Use of One-Stage Detector and Feature Detector in Infrared Video on Transport Infrastructure and Tunnels

Popis výsledku anglicky

This article presents the use of the combination of the object detection method and feature detector in an infrared video on traffic infrastructure and in tunnels. The theme of the paper is the validation of vehicle detection and its classification using infrared video streams. In addition, the article focuses on the use of a feature detector and object detection to distinguish between vehicles with electric and combustion motors. The method suggests the use of a low-resolution thermal camera as an inexpensive extension of installed thermal camera technologies. The developed system has been verified for the applicability of vehicle detection and classification using object detection methods and their application in transport infrastructure and tunnels. It also presents a method for distinguishing propulsion units into electric and internal combustion; both systems’ conclusions are then statistically verified. The application of the system is evident in regional traffic management systems, including safety applications for traffic control in tunnels. Categorizing vehicles provides valuable information for higher levels of traffic management, toll systems, and municipal database systems, as well as for a preventive system for estimating vehicle conditions and their potential of fire in tunnels.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

20104 - Transport engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

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

15

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

15

Strana od-do

15-0

Kód UT WoS článku

000929587200001

EID výsledku v databázi Scopus

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