IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i22p12928-d685191.html
   My bibliography  Save this article

Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras

Author

Listed:
  • Pavol Kuchár

    (Faculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia)

  • Rastislav Pirník

    (Faculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia)

  • Tomáš Tichý

    (Faculty of Transportation Sciences, Czech Technical University in Prague, 110 00 Prague, Czech Republic)

  • Karol Rástočný

    (Faculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia)

  • Michal Skuba

    (Faculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia)

  • Tamás Tettamanti

    (Department of Control for Transportation and Vehicle Systems, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

Abstract

Many modern vehicles today are equipped with an on-board e-call system that can send information about the number of passengers in the event of an accident. However, in case of fire or other major danger in a road tunnel, it is very important for rescue services to know not only the number of passengers in a given vehicle that has an accident and called help via e-call but how many people are in the tunnel in total. This paper deals with the issue of passenger detection and counting using the TPH3008-S Thermal camera and the VIVOTEK IP7361 IP Cameras noninvasively, i.e., the cameras are placed outside the vehicle. These cameras have their limitations; therefore, we investigated how to improve conditions and how to make detection better for future work. The main goal of this article is to summarize the achieved results and possibilities of improvement of the proposed system by adding other sensors and systems that would improve the final score of passenger detection. The experimental results demonstrate that our approach has to be modified and we have to add additional sensors or change methods to achieve more promising results. The results, findings and conclusions might be later used in tunnels and highways and also be applied in telematics and lead to better, safer road transport and improvement of existing tunnel systems sustainability by utilizing resources in a smarter way.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12928-:d:685191
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/22/12928/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/22/12928/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tomáš Tichý & Jiří Brož & Zuzana Bělinová & Rastislav Pirník, 2021. "Analysis of Predictive Maintenance for Tunnel Systems," Sustainability, MDPI, vol. 13(7), pages 1-17, April.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    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. Xiangang Cao & Pengfei Li & Song Ming, 2021. "Remaining Useful Life Prediction-Based Maintenance Decision Model for Stochastic Deterioration Equipment under Data-Driven," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    4. Evgeny Burnaev & Evgeny Mironov & Aleksei Shpilman & Maxim Mironenko & Dmitry Katalevsky, 2023. "Practical AI Cases for Solving ESG Challenges," Sustainability, MDPI, vol. 15(17), pages 1-15, August.
    5. Frantisek Kuda & Petr Dlask & Marek Teichmann & Vaclav Beran, 2022. "Time–Cost Schedules and Project–Threats Indication," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    6. Jiří Brož & Tomáš Tichý & Radovan Prokeš & Adam Štencek & Tomáš Šmerda, 2023. "Proximity Approach to Bluetooth Low Energy-Based Localization in Tunnels," Sustainability, MDPI, vol. 15(4), pages 1-13, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12928-:d:685191. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.