The present application discloses a method for training an image depth estimation model, a method and apparatus for processing image depth information, an automatic driving vehicle, an electronic device, a program product, a storage medium, which relates to the field of artificial intelligence fields such as automatic driving, computer vision, and deep learning, etc. A specific implementation includes: inputting a sample environmental image, sample environmental point cloud data and sample edge information of the sample environmental image into a to-be-trained model; and determining initial depth information of each of pixel points in the sample environmental image and a feature relationship between each of the pixel points and a corresponding neighboring pixel point of each of the pixel points through the to-be-trained model, and optimizing the initial depth information of each of the pixel points according to the feature relationship to obtain optimized depth information of each of the pixel points, and adjusting a parameter of the to-be-trained model according to the optimized depth information to obtain the image depth estimation model. The depth information is optimized through the feature relationship, thereby improving the accuracy of the optimized depth information.
METHOD FOR TRAINING IMAGE DEPTH ESTIMATION MODEL AND METHOD FOR PROCESSING IMAGE DEPTH INFORMATION