Thermal Feature Detection of Vehicle Categories in the Urban Area

Tomáš Tichý, David Švorc, Miroslav Růžička and Zuzana Bělinová
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Tomáš Tichý: Faculty of Transportation Sciences, Czech Technical University, 110 00 Prague, Czech Republic
David Švorc: Faculty of Engineering, Czech University of Life Sciences Prague, 165 00 Prague, Czech Republic
Miroslav Růžička: Faculty of Engineering, Czech University of Life Sciences Prague, 165 00 Prague, Czech Republic
Zuzana Bělinová: Faculty of Transportation Sciences, Czech Technical University, 110 00 Prague, Czech Republic

Sustainability, 2021, vol. 13, issue 12, 1-13

Abstract: 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.

Keywords: thermal analysis; vehicle classification; electric vehicles; thermal detection; detection and classification system; smart cities (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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