首页> 外国专利> METHOD AND SYSTEM FOR RAILWAY OBSTACLE DETECTION BASED ON RAIL SEGMENTATION

METHOD AND SYSTEM FOR RAILWAY OBSTACLE DETECTION BASED ON RAIL SEGMENTATION

机译:基于轨道分割的铁路障碍物检测方法和系统

摘要

Systems and methods for rails and obstacles detection based on forward-looking electrooptical imaging, novel system architecture and novel scene analysis and image processing are disclosed. The processing solution utilizes a deep learning semantic scene segmentation approach based on a rails and switches states detection neural network that determines the railway path of the train in the forward- looking imagery, and an objects and obstacles detection and tracking neural network that analyzes the vicinity of the determined railway path and detects impending obstacles.
机译:公开了基于前瞻性电光成像的轨道和障碍物检测的系统和方法,新颖的系统架构和新颖场景分析和图像处理。处理解决方案利用基于轨道的深度学习语义场景分割方法,以及切换状态检测神经网络,该神经网络在前瞻性图像中确定列车的铁路路径,以及分析附近的物体和障碍物检测和跟踪神经网络确定的铁路路径和检测即将发生的障碍物。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号