车辆驾驶数据的处理方法、装置、设备及存储介质

By extracting and optimizing information from vehicle driving datasets and images, a candidate camera pose information set is obtained, which solves the attitude drift problem of autonomous vehicles when GPS and radar data fail, and realizes real-time positioning of autonomous vehicles.

CN116363173BActive Publication Date: 2026-07-17GUANGZHOU WERIDE TECH LTD CO

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGZHOU WERIDE TECH LTD CO
Filing Date
2023-03-31
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In tunnel traffic jams, when GPS and radar data are temporarily unavailable, the autonomous vehicle's attitude will drift, causing the positioning system to be unable to suppress the attitude drift.

Method used

By acquiring vehicle driving datasets and images to be processed, vehicle driving motion information is extracted, images are optimized to obtain a candidate camera pose information set, and the candidate camera pose information set is used to optimize the vehicle driving dataset to obtain target pose information and suppress the attitude drift of autonomous vehicles.

Benefits of technology

Without reducing the fusion output frequency of the positioning system, the attitude drift of the autonomous vehicle is effectively suppressed, thus meeting the real-time positioning requirements of the autonomous vehicle.

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Abstract

本发明涉及自动驾驶车辆数据处理技术领域,公开了一种车辆驾驶数据的处理方法、装置、设备及存储介质,用于在不降低无人驾驶车辆定位系统融合输出频率的情况下,抑制无人驾驶车辆姿态的漂移。车辆驾驶数据的处理方法包括:获取目标车辆的车辆驾驶数据集和待处理图像,对车辆驾驶数据集进行信息提取,得到车辆驾驶运动信息;通过车辆驾驶运动信息对待处理图像进行优化处理并进行信息提取,得到候选相机位姿信息集;通过候选相机位姿信息集对车辆驾驶数据集中的车辆驾驶位姿信息进行优化处理,得到目标位姿信息。
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