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铁路通信信号工程技术 ›› 2024, Vol. 21 ›› Issue (4): 28-33,39.DOI: 10.3969/j.issn.1673-4440.2024.04.005

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重载铁路列车障碍物检测研究

张东涛   

  1. 国能新朔铁路有限责任公司,呼和浩特 010300
  • 收稿日期:2023-12-18 修回日期:2024-02-04 出版日期:2024-04-25 发布日期:2024-04-25
  • 作者简介:张东涛(1982—),男,高级工程师,本科,主要研究方向:软件工程,邮箱:10575478@ceic.com。

Research on Obstacle Detection for Heavy-haul Train

Zhang Dongtao   

  1. CHN Energy Xinshuo Railway Co., Ltd., Huhhot    010300, China
  • Received:2023-12-18 Revised:2024-02-04 Online:2024-04-25 Published:2024-04-25

摘要: 针对重载列车采用传统人工瞭望方式检测障碍物的现状,在分析其缺点的基础上,提出一种基于激光雷达和双目视觉融合的障碍物检测方法,赋予列车自主障碍物检测能力,为重载列车障碍物检测提供新思路。

关键词: 障碍物检测, 重载列车, 雷视融合

Abstract: This paper analyzes the current situation and shortcomings of using traditional manual observation method to detect obstacles for heavy-haul train, proposes an obstacle detecting method based on the fusion of LiDAR and binocular vision, which endows trains with autonomous obstacle detecting capability and provides new ideas for obstacle detecting for heavy-haul trains.

Key words: obstacle detection, heavy-haul train, fusion of LiDAR and binocular vision 

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