Lyft, Inc.
Deep direct localization from ground imagery and location readings

Abstract:

In one embodiment, a method includes training an image localization model for determining an adjusted location reading for a vehicle based on its location reading and the associated image. The method further includes updating a location associated with the vehicle using the adjusted location reading. The training of the image localization model includes generating feature representations of a number of training images, and learning a relationship between the feature representations and differentials between a number of raw location readings and their respective reference location readings.