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3D Mapping for Improving the Safety of Autonomous Driving in Container Terminals

  • Ngo Quang Vinh (Graduate School of Korea Maritime and Ocean University) ;
  • Ji-Hoon Park (Department of Smart Port Logistics, Korea Maritime and Ocean University) ;
  • Hyeon-Soo Shin (KMI-KMOU Cooperation Program, Graduate School of Korea Maritime and Ocean University) ;
  • Hwan-Seong Kim (Dept. of Logistics, Korea Maritime and Ocean University)
  • Received : 2023.06.01
  • Accepted : 2023.06.26
  • Published : 2023.10.31

Abstract

Automated container terminals (ACTs) contribute many benefits to operation shipments, such as productivity, management cost, and real-time freight tracking, in which ensuring a high level of safety in container terminals is extremely important to prevent accidents and optimize operations. This study proposes a method for increasing safety levels in container terminals through the application of object detection with state-of-the-art EfficientDet model support. A distance estimation method is employed to accurately measure the distance to objects and provide proximity alerts when predefined safety thresholds are exceeded. 3D Mapping technology is utilized to create a detailed representation of the container terminal in a virtual environment. This enables a comprehensive visualization of the surroundings, including structures, equipment, and objects. By combining object detection and distance estimation results with the 3D map, potential safety issues can be identified with greater precision. A realistic container terminal scenario was used to evaluate the robustness of the proposed method.

Keywords

References

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