Patent ID: 11887376
Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G  B | IPC B  G

Claim 6:
7. A method of establishing a road condition estimation model, comprising:
acquiring training data, including a sequence of user tracks for a sample road for a first preset duration before a second moment, a sequence of road images for the sample road for the first preset duration before the second moment and a road condition label for the sample road for a second preset duration after the second moment;
extracting a track-related feature of the sample road from the sequence of the user tracks, and extracting an image-related feature of the sample road from the sequence of the road images; and
training a classification model, by using the track-related feature of the sample road and the image-related feature of the sample road as an input of the classification model, and using the road condition label for the sample road as a target output of the classification model, so as to obtain the road condition estimation model,
wherein the track-related feature includes a speed feature;
the image-related feature includes at least one of a road empty-degree feature, a traffic flow feature and a building feature; and
the extracting an image-related feature of the sample road from the sequence of the road images comprises:
recognizing a building area from each road image in the sequence of the road images, by using a pre-trained image semantic segmentation model; and
calculating a similarity mean and/or a similarity variance of building areas of adjacent road images in the sequence of the road images, as the building feature of the sample road.