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

• 영문명: 3D Mapping for Improving the Safety of Autonomous Driving in Container Terminals
• 발행기관: 한국항해항만학회
• 저자명: Ngo Quang Vinh 박지훈 신현수 김환성
• 간행물 정보: 『한국항해항만학회지』제47권 제5호, 281~287쪽, 전체 7쪽
• 주제분류: 공학 > 해양공학
• 파일형태: PDF
• 발행일자: 2023.10.31

영문 초록

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.

목차

1. Introduction

2. Literature Review

3. Proposed Methodology

4. Experiment Results and Analysis

5. Conclusion

References

키워드

object detection distance estimation 3D mapping deep learning autonomous container truck container terminal