一种基于双高精地图的自动驾驶方法及系统

By using differential fusion and element comparison of two high-precision maps, the problem of insufficient coverage of a single high-precision map is solved, improving the robustness and safety of the autonomous driving system and ensuring the reliable operation of the system.

CN117125093BActive Publication Date: 2026-07-17WUHAN LOTUS CARS CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
WUHAN LOTUS CARS CO LTD
Filing Date
2022-05-18
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing single high-precision maps have insufficient data coverage, with some roads not covered, making it impossible to start the autonomous driving system. Furthermore, there is no redundant backup, resulting in high system risk.

Method used

The method based on dual high-precision maps is adopted to periodically collect the vehicle's current coordinates and environmental information, obtain the first and second high-precision map data, perform differential fusion, plan autonomous driving strategies, and perform element fusion when the difference value is less than a threshold to correct the vehicle's positioning coordinates.

Benefits of technology

It improves the coverage and robustness of high-precision maps for autonomous driving systems, reduces risks caused by problems with high-precision maps, and ensures the reliability and safety of autonomous driving systems.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明提供了一种基于双高精地图的自动驾驶方法,属于自动驾驶领域。包括如下步骤:周期性地采集车辆的当前坐标以及车辆的当前周边环境信息;根据当前坐标判断能否获取到当前坐标前方的第一高精度地图数据和第二高精度地图数据;在确定能同时获取到第一高精地图数据和第二高精地图数据后,将第一高精地图数据和第二高精地图数据进行差分融合,得到融合地图数据;根据融合地图数据规划车辆自动驾驶策略;按照自动驾驶策略控制车辆行驶。本发明通过两种不同的高精地图来规划车辆自动驾驶策略,解决了现有技术中单高精地图经常会出现数据覆盖范围不够,部分道路没有覆盖,无法启动自动驾驶系统的问题。
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