The invention belongs to the technical field of automatic driving, and discloses an automatic driving method based on a digital traffic scene, which comprises the following steps of: establishing a dangerous working condition prediction model based on a traffic scene digital document; importing traffic scene data and collecting current vehicle driving data in real time; inputting the traffic scene data and the vehicle driving data into a dangerous working condition prediction model to generate a dangerous working condition prediction result; and correcting an automatic driving algorithm in real time according to a dangerous working condition prediction result. The problems that in the prior art, the requirement for vehicle hardware is high, cost input is large, information such as traffic signs and road signs of a current road cannot be recognized, a traffic accident data set of an automatic driving algorithm is trained, and timeliness and accuracy of automatic driving real-time calculation are low are solved.
本发明属于自动驾驶技术领域,公开了一种基于数字化交通场景的自动驾驶方法,包括如下步骤:基于交通场景数字化文档建立危险工况预知模型;导入交通场景数据并实时采集当前的车辆行驶数据;将交通场景数据和车辆行驶数据输入危险工况预知模型生成危险工况预知结果;根据危险工况预知结果实时修正自动驾驶算法。本发明解决了现有技术存在的对车辆硬件要求高、成本投入大、无法识别当前道路的交通标志和道路标志等信息、训练自动驾驶算法的交通事故数据集以及自动驾驶实时计算的及时性和准确性低的问题。
Automatic driving method based on digital traffic scene
一种基于数字化交通场景的自动驾驶方法
2021-11-26
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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