Patent ID: 11954917
Assignee: SHANDONG KAILIN ENVIRONMENTAL PROTECTION EQUIPMENT CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G  B | IPC B  G

Claim 3:
4. A system used for the method of segmenting the abnormal robust for the complex autonomous driving scenes according to claim 1, comprising:
the segmentation module, configured to transmit an obtained input image to the segmentation network to obtain segmentation prediction images, and then quantify the uncertainty of a segmentation prediction by means of calculating two different discrete metrics;
the synthesis module, configured to match a generated data distribution with a data distribution of the input image by utilizing a conditional generative adversarial network;
the difference module, configured to model and calculate the input image, an generated image, the semantic feature map and the uncertainty feature map based on an encoder, a fusion module and a decoder, to generate the segmentation prediction images for the abnormal objects;
the integrated prediction module, configured to take an obtained uncertainty prediction as a focus of the difference module, and predict input image data by utilizing a trained network model to obtain the segmentation prediction results of the abnormal objects.