IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i13p7934-d851666.html
   My bibliography  Save this article

A Vision-Based Collision Monitoring System for Proximity of Construction Workers to Trucks Enhanced by Posture-Dependent Perception and Truck Bodies’ Occupied Space

Author

Listed:
  • Yoon-Soo Shin

    (Department of Architectural Engineering, Dankook University, Yongin 16890, Korea)

  • Junhee Kim

    (Department of Architectural Engineering, Dankook University, Yongin 16890, Korea)

Abstract

In the study, an automated visualization of the proximity between workers and equipment is developed to manage workers’ safety at construction sites using the convolutional-neural-network-based image processing of a closed-circuit television video. The images are analyzed to automatically transform a hazard index visualized in the form of a plane map. The graphical representation of personalized proximity in the plane map is proposed and termed as safety ellipse in the study. The safety ellipse depending on the posture of workers and the area occupied by the hazardous objects (trucks) enable to represent precise proximity. Collision monitoring is automated with computer vision techniques of artificial-intelligence-based object detection, occupied space calculation, pose estimation, and homography.

Suggested Citation

  • Yoon-Soo Shin & Junhee Kim, 2022. "A Vision-Based Collision Monitoring System for Proximity of Construction Workers to Trucks Enhanced by Posture-Dependent Perception and Truck Bodies’ Occupied Space," Sustainability, MDPI, vol. 14(13), pages 1-13, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7934-:d:851666
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/13/7934/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/13/7934/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shraddha Palikhe & Jae Young Lee & Bubryur Kim & Mi Yirong & Dong-Eun Lee, 2022. "Ergonomic Risk Assessment of Aluminum Form Workers’ Musculoskeletal Disorder at Construction Workstations Using Simulation," Sustainability, MDPI, vol. 14(7), pages 1-19, April.
    2. Yunsick Sung, 2016. "RSSI-Based Distance Estimation Framework Using a Kalman Filter for Sustainable Indoor Computing Environments," Sustainability, MDPI, vol. 8(11), pages 1-9, November.
    3. Qijun Hu & Yu Bai & Leping He & Jie Huang & Haoyu Wang & Guangran Cheng, 2022. "Workers’ Unsafe Actions When Working at Heights: Detecting from Images," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    4. Paige Wenbin Tien & Shuangyu Wei & John Calautit, 2020. "A Computer Vision-Based Occupancy and Equipment Usage Detection Approach for Reducing Building Energy Demand," Energies, MDPI, vol. 14(1), pages 1-28, December.
    5. Hyunsoo Kim & Sangwon Han, 2018. "Accuracy Improvement of Real-Time Location Tracking for Construction Workers," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    Full references (including those not matched with items on IDEAS)

    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. Sewoong Hwang & Zoonky Lee & Jonghyuk Kim, 2019. "Real-Time Pedestrian Flow Analysis Using Networked Sensors for a Smart Subway System," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    2. Tao Liu & Xing Zhang & Huan Zhang & Nadeem Tahir & Zhixiang Fang, 2021. "A Structure Landmark-Based Radio Signal Mapping Approach for Sustainable Indoor Localization," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
    3. Boda Liu & Bin Yang & Jianzhuang Xiao & Dayu Zhu & Binghan Zhang & Zhichen Wang & Miaosi Dong, 2021. "Review of Optimization Dynamically Applied in the Construction and the Application Potential of ICT," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    4. Fernando Cassola & Leonel Morgado & António Coelho & Hugo Paredes & António Barbosa & Helga Tavares & Filipe Soares, 2022. "Using Virtual Choreographies to Identify Office Users’ Behaviors to Target Behavior Change Based on Their Potential to Impact Energy Consumption," Energies, MDPI, vol. 15(12), pages 1-21, June.
    5. María del Carmen Rey-Merchán & Jesús M. Gómez-de-Gabriel & Antonio López-Arquillos & Juan A. Fernández-Madrigal, 2021. "Virtual Fence System Based on IoT Paradigm to Prevent Occupational Accidents in the Construction Sector," IJERPH, MDPI, vol. 18(13), pages 1-17, June.
    6. Rita Yi Man Li & Beiqi Tang & Kwong Wing Chau, 2019. "Sustainable Construction Safety Knowledge Sharing: A Partial Least Square-Structural Equation Modeling and A Feedforward Neural Network Approach," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    7. Jonghyuk Kim & Hyunwoo Hwangbo & Sung Jun Kim & Soyean Kim, 2019. "Location-Based Tracking Data and Customer Movement Pattern Analysis for Sustainable Fashion Business," Sustainability, MDPI, vol. 11(22), pages 1-17, November.
    8. Jong Hyuk Park & Han-Chieh Chao, 2017. "Advanced IT-Based Future Sustainable Computing," Sustainability, MDPI, vol. 9(5), pages 1-4, May.
    9. Tien, Paige Wenbin & Wei, Shuangyu & Calautit, John Kaiser & Darkwa, Jo & Wood, Christopher, 2022. "Real-time monitoring of occupancy activities and window opening within buildings using an integrated deep learning-based approach for reducing energy demand," Applied Energy, Elsevier, vol. 308(C).
    10. Dong Myung Lee & Boney Labinghisa, 2019. "Indoor localization system based on virtual access points with filtering schemes," International Journal of Distributed Sensor Networks, , vol. 15(7), pages 15501477198, July.
    11. Waleed Umer & Mohsin K. Siddiqui, 2020. "Use of Ultra Wide Band Real-Time Location System on Construction Jobsites: Feasibility Study and Deployment Alternatives," IJERPH, MDPI, vol. 17(7), pages 1-25, March.
    12. Simona Šinko & Enej Marinič & Blaž Poljanec & Matevž Obrecht & Brigita Gajšek, 2022. "Performance-Oriented UWB RTLS Decision-Making Approach," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    13. Ahmed Farouk Kineber & Ayodeji Oke & John Aliu & Mohammed Magdy Hamed & Eguonor Oputu, 2023. "Exploring the Adoption of Cyber (Digital) Technology for Sustainable Construction: A Structural Equation Modeling of Critical Success Factors," Sustainability, MDPI, vol. 15(6), pages 1-28, March.

    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:14:y:2022:i:13:p:7934-:d:851666. 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.