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Prof. Miroslav Růžička
Czech University of Life Sciences Prague, Faculty of Engineering, Czech Republic

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0 Traffic Engineering
0 transport
0 Electromobility
0 ITSM
0 spacial planning

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Journal article
Published: 17 June 2021 in Sustainability
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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.

ACS Style

Tomáš Tichý; David Švorc; Miroslav Růžička; Zuzana Bělinová. Thermal Feature Detection of Vehicle Categories in the Urban Area. Sustainability 2021, 13, 6873 .

AMA Style

Tomáš Tichý, David Švorc, Miroslav Růžička, Zuzana Bělinová. Thermal Feature Detection of Vehicle Categories in the Urban Area. Sustainability. 2021; 13 (12):6873.

Chicago/Turabian Style

Tomáš Tichý; David Švorc; Miroslav Růžička; Zuzana Bělinová. 2021. "Thermal Feature Detection of Vehicle Categories in the Urban Area." Sustainability 13, no. 12: 6873.