Patents by Inventor Raquel Urtasun Sotil

Raquel Urtasun Sotil has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20190383945
    Abstract: Aspects of the present disclosure involve systems, methods, and devices for autonomous vehicle localization using a Lidar intensity map. A system is configured to generate a map embedding using a first neural network and to generate an online Lidar intensity embedding using a second neural network. The map embedding is based on input map data comprising a Lidar intensity map, and the Lidar sweep embedding is based on online Lidar sweep data. The system is further configured to generate multiple pose candidates based on the online Lidar intensity embedding and compute a three-dimensional (3D) score map comprising a match score for each pose candidate that indicates a similarity between the pose candidate and the map embedding. The system is further configured to determine a pose of a vehicle based on the 3D score map and to control one or more operations of the vehicle based on the determined pose.
    Type: Application
    Filed: June 11, 2019
    Publication date: December 19, 2019
    Inventors: Shenlong Wang, Andrei Pokrovsky, Raquel Urtasun Sotil, Ioan Andrei Bârsan
  • Publication number: 20190286921
    Abstract: A method includes receiving image data associated with an image of a roadway including a crosswalk, generating a plurality of different characteristics of the image based on the image data, determining a position of the crosswalk on the roadway based on the plurality of different characteristics, the position including a first boundary and a second boundary of the crosswalk in the roadway, and providing map data associated with a map of the roadway, the map data including the position of the crosswalk on the roadway in the map. The plurality of different characteristics include a classification of one or more elements of the image, a segmentation of the one or more elements of the image, and one or more angles of the one or more elements of the image with respect to a line in the roadway.
    Type: Application
    Filed: March 14, 2019
    Publication date: September 19, 2019
    Inventors: Justin Jin-Wei Liang, Raquel Urtasun Sotil
  • Publication number: 20190147320
    Abstract: A method includes obtaining training data including one or more images and one or more ground truth labels of the one or more images, and training an adversarial network including a siamese discriminator network and a generator network. The training includes generating, with the generator network, one or more generated images based on the one or more images; processing, with the siamese discriminator network, at least one pair of images to determine a prediction of whether the at least one pair of images includes the one or more generated images; and modifying, using a loss function of the adversarial network that depends on the ground truth label and the prediction, one or more parameters of the generator network.
    Type: Application
    Filed: November 15, 2018
    Publication date: May 16, 2019
    Inventors: Gellert Sandor Mattyus, Raquel Urtasun Sotil
  • Publication number: 20190138024
    Abstract: A computer system including one or more processors programmed or configured to receive image data associated with an image of one or more roads, where the one or more roads comprise one or more lanes, determine a lane classification of the one or more lanes based on the image data associated with the image of the one or more roads, and provide lane classification data associated with the lane classification of the one or more lanes.
    Type: Application
    Filed: November 7, 2018
    Publication date: May 9, 2019
    Inventors: Justin Jin-Wei Liang, Raquel Urtasun Sotil