The invention provides a road traffic participant course identification method and system, and the method comprises the steps: S1, analyzing the sensor data of a naturally-driven vehicle, and obtaining the driving information of a plurality of frames and various types of target objects; s2, extracting all target object identifiers in the analysis result, screening an associated fragment corresponding to the current target object from the analysis result according to the target object identifiers, and dividing the associated fragment into target object instantaneous fragments with the current frame as the center; and S3, extracting a key field from the instantaneous fragment of the target object, and judging the course of the target object according to the key field. According to the method, the vehicle sensor data can be analyzed to realize course recognition of road traffic participants, the method can be applied to establishment of an automatic driving scene library, the coverage range of the scene library is enriched, and the usability and reliability of an automatic driving simulation test are further improved.
本发明提供一种道路交通参与者航向识别方法及系统,方法包括:S1,解析自然驾驶的车辆传感器数据,得到包含多帧、各类别目标物的行驶信息;S2,提取解析结果中的全部目标物标识,根据目标物标识从解析结果中筛选当前目标物对应的关联片段,将所述关联片段分为以当前帧为中心的目标物瞬时片段;S3,从目标物瞬时片段中提取关键字段,根据所述关键字段判断目标物航向。本发明可通过对车辆传感器数据进行解析,以实现对道路交通参与者进行航向识别,可应用于自动驾驶场景库的建立,丰富场景库覆盖范围,进一步提高了自动驾驶仿真测试的可用性和可靠性。
Road traffic participant course identification method and system
一种道路交通参与者航向识别方法及系统
2023-05-09
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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