Patents by Inventor Jürgen Wiest

Jürgen Wiest 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).

  • Graph Representation Querying of Machine Learning Models for Traffic or Safety Rules
    Publication number: 20230124864
    Abstract: A graph representation of a tactical map representing a plurality of static components of an environment of a vehicle is generated. Nodes of the graph represent static components, and edges represent relationships between multiple static components. Different edge types are used to indicate respective relationship semantics among the static components. Individual nodes are represented as having the same number and types of edges in the graph. Using the graph as input to a neural network based model, a set of results is obtained. A motion control directive based at least in part on the results is transmitted to a motion-control subsystem of the vehicle.
    Type: Application
    Filed: December 21, 2022
    Publication date: April 20, 2023
    Applicant: Apple Inc.
    Inventors: Martin Levihn, Jürgen Wiest, Pekka Tapani Raiko, Anayo Kenechukwu Akametalu
  • Processing graph representations of tactical maps using neural networks
    Patent number: 11555706
    Abstract: A graph representation of a tactical map representing a plurality of static components of an environment of a vehicle is generated. Nodes of the graph represent static components, and edges represent relationships between multiple static components. Different edge types are used to indicate respective relationship semantics among the static components. Individual nodes are represented as having the same number and types of edges in the graph. Using the graph as input to a neural network based model, a set of results is obtained. A motion control directive based at least in part on the results is transmitted to a motion-control subsystem of the vehicle.
    Type: Grant
    Filed: September 26, 2018
    Date of Patent: January 17, 2023
    Assignee: Apple Inc.
    Inventors: Martin Levihn, Jürgen Wiest, Pekka Tapani Raiko, Anayo Kenechukwu Akametalu
  • Generating environmental input encoding for training neural networks
    Patent number: 11537134
    Abstract: An encoding of an environment for operating vehicles is obtained, comprising a combination of at least a representation of moving entities with a graph representation of static infrastructure elements. Using the encoding and a set of one or more observations of the environment state, a machine learning model is trained to produce a probabilistic representation of a set of predicted states of the environment. A trained version of the machine learning model is stored and deployed at one or more vehicles to help plan and control vehicle movements.
    Type: Grant
    Filed: May 24, 2018
    Date of Patent: December 27, 2022
    Assignee: Apple Inc.
    Inventors: Juergen Wiest, Moises Goldszmidt, Tobias Martin Gindele