The invention discloses an automatic driving scene understanding method, device and system and electronic equipment. The method comprises the steps of obtaining current positioning information of an automatic driving vehicle in a current scene; determining a road section feature vector of a road section where the automatic driving vehicle is located according to the current positioning information and the full-road-section feature vector in the current scene; according to the road section feature vector of the located road section, using a preset driving boundary prediction model to determine driving boundary information of the autonomous vehicle; and when the autonomous vehicle runs according to the running boundary information, acquiring passing effect data of the autonomous vehicle and sending the passing effect data to the cloud, so that the cloud evaluates the passing effect of the autonomous vehicle in the current scene according to the passing effect data. According to the automatic driving scene understanding and matching overall architecture with the road sections as basic units, the road section features as model input, the driving boundaries as model output and the passing effect as the evaluation basis, the expandability problem of the automatic driving technology in scenes such as scenic spots is systematically solved.
本申请公开了一种自动驾驶场景理解方法、装置及系统、电子设备,该方法包括:获取自动驾驶车辆在当前场景下的当前定位信息;根据当前定位信息和当前场景下的全路段特征向量确定自动驾驶车辆所在路段的路段特征向量;根据所在路段的路段特征向量,利用预设行驶边界预测模型确定自动驾驶车辆的行驶边界信息;在自动驾驶车辆按照行驶边界信息行驶时,获取自动驾驶车辆的通行效果数据并发送云端,使云端根据通行效果数据评价自动驾驶车辆在当前场景的通行效果。本申请以路段为基本单元、路段特征为模型输入、行驶边界为模型输出、通行效果为评价依据的自动驾驶场景理解与匹配的整体架构,系统性地解决了自动驾驶技术在景区等场景的可扩展性问题。
Automatic driving scene understanding method, device and system and electronic equipment
自动驾驶场景理解方法、装置及系统、电子设备
2024-05-14
Patent
Elektronische Ressource
Chinesisch
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