Patents by Inventor Mathieu Bulliot

Mathieu Bulliot 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).

  • Method for the classification of parking spaces in a surrounding region of a vehicle with a neural network
    Patent number: 11455808
    Abstract: The invention relates to a method for the classification of parking spaces in a surrounding region of a vehicle with a driver support system, wherein the vehicle comprises at least one first surroundings sensor and a second surroundings sensor, comprising the steps of receiving first sensor data out of the surrounding region by the driver support system from the at least one first surroundings sensor, recognizing a parking-space-like partial region of the surrounding region in the first sensor data, requesting second sensor data acquired by the at least one second surroundings sensor out of the parking-space-like partial region by the driver support system as soon as the parking-space-like partial region is recognized in the first sensor data, transmitting the requested second sensor data to a vehicle-side computing unit comprising a deep neural network (DNN), and classifying the parking-space-like partial region into categories with the DNN, wherein the categories comprise legal, parkable parking spaces and
    Type: Grant
    Filed: December 6, 2018
    Date of Patent: September 27, 2022
    Assignee: Valeo Schalter und Sensoren GmbH
    Inventors: Malte Joos, Mathieu Bulliot, Mahmoud Shalaby, Ayman Mahmoud, Jean-Francois Bariant
  • METHOD FOR THE CLASSIFICATION OF PARKING SPACES IN A SURROUNDING REGION OF A VEHICLE WITH A NEURAL NETWORK
    Publication number: 20210216797
    Abstract: The invention relates to a method for the classification of parking spaces in a surrounding region of a vehicle with a driver support system, wherein the vehicle comprises at least one first surroundings sensor and a second surroundings sensor, comprising the steps of receiving first sensor data out of the surrounding region by the driver support system from the at least one first surroundings sensor, recognizing a parking-space-like partial region of the surrounding region in the first sensor data, requesting second sensor data acquired by the at least one second surroundings sensor out of the parking-space-like partial region by the driver support system as soon as the parking-space-like partial region is recognized in the first sensor data, transmitting the requested second sensor data to a vehicle-side computing unit comprising a deep neural network (DNN), and classifying the parking-space-like partial region into categories with the DNN, wherein the categories comprise legal, parkable parking spaces and
    Type: Application
    Filed: December 6, 2018
    Publication date: July 15, 2021
    Applicant: Valeo Schalter und Sensoren GmbH
    Inventors: Malte Joos, Mathieu Bulliot, Mahmoud Shalaby, Ayman Mahmoud