基于机器视觉监测系统的地铁自动驾驶安全性保障方法研究

  • 打印
  • 收藏
收藏成功


打开文本图片集

摘 要:为提高地铁线路完全自动驾驶系统安全性,设计机器视觉监测系统,基于激光雷达探测法判别站台门间人员位置,实现站台门防夹人功能;构建车载障碍物监测装置,研究点云处理与目标识别技术,实现地铁障碍物智能检测识别。在苏州地铁中进行验证试验,确定可有效保障线路运营安全。

关键词:地铁;自动驾驶系统;智能监测系统;安全保障

中图分类号:TP277  文献标志码:B  文章编号:1671-5276(2025)01-0261-04

Research on Safety Guarantee Method of Subway Automatic Driving Based on Machine Vision Monitoring System

Abstract:In order to improve the safety of the subway line of the full auto drive system, this paper designs a machine vision monitoring system. Based on the laser radar detection method, the position of people between the platform doors is judged and the anti pinch function of the platform doors is realized. A vehicle mounted obstacle monitoring device is constructed, and point cloud processing and target recognition technology are studied to achieve intelligent detection and recognition of subway obstacles. Verification tests are carried out in Suzhou Metro to ensure the safety of line operation.

Keywords:subway; autonomous driving system; intelligent monitoring system; safety guarantee

0 引言

地铁具有载客量大、节能环保、准点便捷的特点,在缓解城市交通拥挤和节能高效环保等方面有着明显的优势[1]。(剩余3987字)

目录
monitor