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Human intrusion detection for high-speed railway perimeter under all-weather condition
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Pengyue Guo, Tianyun Shi, Zhen Ma, Jing Wang
Railway Sciences | 2024, 3(1) : 97 - 110
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Railway Sciences | 2024, 3(1): 97-110
Research paper
Human intrusion detection for high-speed railway perimeter under all-weather condition
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Pengyue Guo, Tianyun Shi, Zhen Ma, Jing Wang
Affiliations
  • Institute of Electronic Computing Technology, China Academy of Railway Sciences Corporation Limited, Beijing, China
  • School of Information and Electronics, Beijing Institute of Technology, Beijing, China
Published: 2024-02-10 doi: 10.1108/RS-11-2023-0043
Outline
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Purpose

The paper aims to solve the problem of personnel intrusion identification within the limits of high-speed railways. It adopts the fusion method of millimeter wave radar and camera to improve the accuracy of object recognition in dark and harsh weather conditions.

Design/methodology/approach

This paper adopts the fusion strategy of radar and camera linkage to achieve focus amplification of long-distance targets and solves the problem of low illumination by laser light filling of the focus point. In order to improve the recognition effect, this paper adopts the YOLOv8 algorithm for multi-scale target recognition. In addition, for the image distortion caused by bad weather, this paper proposes a linkage and tracking fusion strategy to output the correct alarm results.

Findings

Simulated intrusion tests show that the proposed method can effectively detect human intrusion within 0-200 m during the day and night in sunny weather and can achieve more than 80% recognition accuracy for extreme severe weather conditions.

Originality/value

(1) The authors propose a personnel intrusion monitoring scheme based on the fusion of millimeter wave radar and camera, achieving all-weather intrusion monitoring; (2) The authors propose a new multi-level fusion algorithm based on linkage and tracking to achieve intrusion target monitoring under adverse weather conditions; (3) The authors have conducted a large number of innovative simulation experiments to verify the effectiveness of the method proposed in this article.

High-speed rail perimeter  /  Personnel invasion  /  Object detection  /  All-weather  /  Radar-camera fusion
Pengyue Guo, Tianyun Shi, Zhen Ma, Jing Wang. Human intrusion detection for high-speed railway perimeter under all-weather condition[J]. Railway Sciences, 2024 , 3 (1) : 97 -110 . DOI: 10.1108/RS-11-2023-0043
  • the National Natural Science Foundation of China(U2268217)
Year 2024 volume 3 Issue 1
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Article Info
doi: 10.1108/RS-11-2023-0043
  • Receive Date:2023-11-12
  • Online Date:2026-06-11
  • Published:2024-02-10
Article Data
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History
  • Received:2023-11-12
  • Revised:2023-12-19
  • Accepted:2023-12-19
Funding
the National Natural Science Foundation of China(U2268217)
Affiliations
    Institute of Electronic Computing Technology, China Academy of Railway Sciences Corporation Limited, Beijing, China
    School of Information and Electronics, Beijing Institute of Technology, Beijing, China

Corresponding:

Pengyue Guo can be contacted at:
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多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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