Patent attributes
A first image and a second image are provided to a trained neural network. The first image comprises one or more static features and the second image comprises at least one of the one or more static features. A static feature is identified in both the first and second images by a branch of the trained neural network. A three dimensional image comprising the identified static feature is generated and three dimensional geometric information/data related to the static feature is extracted and stored in association with a tile of a digital map. A set of training images may be used to train the trained neural network comprises training image subsets comprising two or more images that substantially overlap that were (a) captured at different times; (b) captured under different (i) weather conditions, (ii) lighting conditions, or (iii) weather and lighting conditions; or both a and b.
