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Thermal Feature Detection of Vehicle Categories in the Urban Area

Author

Listed:
  • 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)

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.

Suggested Citation

  • Tomáš Tichý & David Švorc & Miroslav Růžička & Zuzana Bělinová, 2021. "Thermal Feature Detection of Vehicle Categories in the Urban Area," Sustainability, MDPI, vol. 13(12), pages 1-13, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6873-:d:576939
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    References listed on IDEAS

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    1. Sergiu Cosmin Nistor & Tudor Alexandru Ileni & Adrian Sergiu Dărăbant, 2020. "Automatic Development of Deep Learning Architectures for Image Segmentation," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
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    Cited by:

    1. Pavol Kuchár & Rastislav Pirník & Tomáš Tichý & Karol Rástočný & Michal Skuba & Tamás Tettamanti, 2021. "Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
    2. David Švorc & Tomáš Tichý & Miroslav Růžička & Petr Ivasienko, 2023. "Use of One-Stage Detector and Feature Detector in Infrared Video on Transport Infrastructure and Tunnels," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    3. Pavol Kuchár & Rastislav Pirník & Aleš Janota & Branislav Malobický & Jozef Kubík & Dana Šišmišová, 2023. "Passenger Occupancy Estimation in Vehicles: A Review of Current Methods and Research Challenges," Sustainability, MDPI, vol. 15(2), pages 1-27, January.

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    1. David Švorc & Tomáš Tichý & Miroslav Růžička & Petr Ivasienko, 2023. "Use of One-Stage Detector and Feature Detector in Infrared Video on Transport Infrastructure and Tunnels," Sustainability, MDPI, vol. 15(3), pages 1-21, January.

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