数据处理方法、装置、设备、仿真平台和存储介质

By distinguishing between the reception status of critical and non-critical data in autonomous driving simulation, and generating simulation data for the next moment only when critical data is successfully received, the contradiction between simulation accuracy and efficiency is resolved, and a highly efficient simulation process is achieved.

CN115357475BActive Publication Date: 2026-07-17BEIJING BAIDU NETCOM SCI & TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING BAIDU NETCOM SCI & TECH CO LTD
Filing Date
2022-07-18
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing autonomous driving simulation technologies struggle to balance accuracy and efficiency. In particular, playback-based simulations without message synchronization have low accuracy, while frame-synchronized playback-based simulations are inefficient.

Method used

By distinguishing the types of simulation data, multi-channel simulation data for the next moment is generated only when critical data is successfully received. Critical data is used to trigger fusion processing, while non-critical data is assumed to have been successfully received, simplifying the process of synchronizing the receiving status.

Benefits of technology

While ensuring simulation accuracy, simulation efficiency was improved. By focusing on the reception status of key data while ignoring the reception status of non-key data, a balance between stability and efficiency in the simulation process was achieved.

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Abstract

本公开提供了一种数据处理方法、装置、设备、仿真平台和存储介质,涉及人工智能技术领域,具体涉及自动驾驶、仿真测试等技术领域。数据处理方法包括:将当前时刻的多路仿真数据发送至接收方;若所述多路仿真数据中包括关键数据,获取所述关键数据的接收状态;其中,所述关键数据用于触发所述接收方对所述当前时刻的多路仿真数据进行融合处理;所述关键数据的接收状态用于表征所述接收方是否成功接收所述关键数据;基于所述关键数据的接收状态,生成下一时刻的多路仿真数据。本公开可以有效地均衡自动驾驶仿真的准确度和效率。
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