地图构建方法、定位方法、数据采集车辆及车辆

CN116734871BActive Publication Date: 2026-07-17CHINA FAW CO LTD +1
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA FAW CO LTD
Filing Date
2023-03-28
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The poor vehicle positioning accuracy in existing technologies is mainly due to the inaccurate positioning caused by estimating measurement and prediction equations under ideal conditions.

Method used

By acquiring point cloud data from radar scans, first-level and second-level 3D meshes are constructed. The initial pose is optimized using the coordinates and normal vectors of the radar points to improve positioning accuracy.

Benefits of technology

It enables autonomous vehicle positioning, improves positioning accuracy, and solves the problem of poor vehicle positioning accuracy.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN116734871B_ABST
    Figure CN116734871B_ABST
Patent Text Reader

Abstract

本发明公开了一种地图构建方法、定位方法、数据采集车辆及车辆，其中，定位方法包括：获取点云数据，其中，点云数据是通过雷达扫描真实世界得到的，点云数据中包括多个第一雷达点；确定每个第一雷达点在站心坐标系下的坐标得到第一雷达点坐标，其中，站心坐标系的原点为雷达的中心；确定每个第一雷达点在站心坐标系下的法向量得到第一雷达点法向量；根据第一雷达点坐标和第一雷达点法向量构建一级三维网格；根据一级三维网格构建二级三维网格；根据一级三维网格和二级三维网格确定目标地图。本发明解决了相关技术中车辆在进行定位时定位精度差的技术问题。
Need to check novelty before this filing date? Find Prior Art