The invention provides a signal lamp prediction method and device and an automatic driving vehicle, and relates to the technical field of artificial intelligence, in particular to the technical field of automatic driving, intelligent traffic and deep learning. The method comprises the steps of determining information of a lane line of a lane where a vehicle is located and information of a target signal lamp corresponding to the lane based on current position information of the vehicle, and recording the information as element information; recognizing an obstacle in the image acquired by the vehicle to obtain obstacle information; the element information is associated with the obstacle information, topological information is generated, and the topological information is used for representing the binding relation among the target signal lamp, the lane line and the obstacle; and generating a prediction result of the target signal lamp based on the element information, the obstacle information and the topological information. The method provided by the invention improves the accuracy of the signal lamp prediction result.
本公开提供了一种信号灯预测方法、设备及自动驾驶车辆,涉及人工智能技术领域,具体为自动驾驶、智能交通以及深度学习技术领域。该方法包括:基于车辆的当前位置信息,确定车辆所处车道的车道线的信息以及该车道对应的目标信号灯的信息,记为要素信息;对车辆采集的图像中的障碍物进行识别,得到障碍物信息;将要素信息与障碍物信息进行关联,生成拓扑信息,拓扑信息用于表征目标信号灯、车道线以及障碍物之间的绑定关系;基于要素信息、障碍物信息和拓扑信息生成目标信号灯的预测结果。本公开提供的方法提升了信号灯预测结果的准确性。
Signal lamp prediction method and device and automatic driving vehicle
信号灯预测方法、设备及自动驾驶车辆
2024-03-22
Patent
Electronic Resource
Chinese
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