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auto-driving's Introduction

Auto-Driving

五大模块

1、数据预处理

a) 功能

  • 接收各传感器信息
  • 传感器数据时间同步
  • 点云运动畸变补偿
  • 传感器信息统一坐标系

b) 输入

  • GNSS组合导航位置、姿态、角速度、线速度等
  • 雷达点云信息
  • 雷达和IMU相对坐标系

c) 输出

  • GNSS组合导航位置、姿态

  • 畸变补偿后的点云

    以上信息均通过时间同步,时间戳保持一致

2、前端里程计

a) 功能

  • 根据点云数据计算位姿并发布

b) 输入

  • 雷达点云

c) 输出

  • 里程计累计位姿

3、后端图优化

a) 功能

  • 从里程计位姿中提取关键帧
  • 根据关键帧位姿、GNSS组合导航约束和闭环检测来约束位姿

b) 输入

  • 前端里程计位姿
  • GNSS组合导航位姿
  • 闭环检测相对位姿

c) 输出

  • 优化后的位姿

4、闭环检测

a) 功能

  • 根据位姿搜索附近历史帧
  • 如果有则做匹配
  • 如果匹配结果符合要求则建立约束,并发送

b) 输入

  • 关键帧对应的GNSS组合导航位姿(因为用开环位姿检测不够准确,尤其大场景)

c) 输出

  • 闭环位姿约束

5、显示模块

a) 功能

  • 根据优化后的位姿生成点云地图
  • 显示点云地图和当前帧点云

b) 输入

  • 优化后的历史帧位姿
  • 当前帧点云
  • 当前帧位姿

c) 输出

  • 按优化后的位姿投影之后的当前帧点云
  • 按优化后的位姿投影之后的当前帧位姿
  • 局部小地图点云
  • 全局大地图点云

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