The embodiment of the invention discloses a lane-level road surface condition identification method and a road condition prompting method and device, and relates to the technical field of intelligentnavigation with deep learning. The method comprises the specific implementation scheme: carrying out road surface condition recognition on road images around an acquisition vehicle to obtain a targetroad surface condition and an image position of the target road surface condition; carrying out lane line identification on the road images to obtain an image position of at least one lane in the samedirection as the acquisition vehicle; matching the image position of the target road surface condition with the image position of the at least one lane to obtain a target lane covered by the target road surface condition; and uploading the target road surface condition and the target lane to a server, so that the server issues a road condition prompt message to a user vehicle according to the target road surface condition and the target lane. According to the embodiment of the invention, road condition prompting is carried out at a lane level.
本申请实施例公开了一种车道级路面状况识别方法、路况提示方法和装置,涉及具有深度学习的智能导航技术领域。具体实现方案为:对采集车周围的道路图像进行路面状况识别,得到目标路面状况以及所述目标路面状况的图像位置;对所述道路图像进行车道线识别,得到与所述采集车同向的至少一个车道的图像位置;将所述目标路面状况的图像位置与所述至少一个车道的图像位置进行匹配,得到所述目标路面状况覆盖的目标车道;将所述目标路面状况和所述目标车道上传至服务器,以供所述服务器根据所述目标路面状况和所述目标车道向用户车辆下发路况提示消息。本申请实施例以车道级别进行路面状况提示。
Lane-level road surface condition identification method and road condition prompting method and device
车道级路面状况识别方法、路况提示方法和装置
2020-09-15
Patent
Elektronische Ressource
Chinesisch
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