Patents by Inventor Oskar Karnblad

Oskar Karnblad 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).

  • Ensemble learning for cross-range 3D object detection in driver assist and autonomous driving systems
    Patent number: 12243158
    Abstract: A cross-range 3D object detection method and system operable for training a 3D object detection model with N sub-groups of a point cloud corresponding to N detection distance ranges to form N 3D object detection models forming an ensemble 3D object detection model. Training the 3D object detection model with the N sub-groups of the point cloud corresponding to the N detection distance ranges includes training the 3D object detection model progressively from distant to near. Training the 3D object detection model with the N sub-groups of the point cloud corresponding to the N detection distance ranges includes, each time the 3D object detection model converges, saving resulting weights and adding a corresponding network to the ensemble 3D object detection model.
    Type: Grant
    Filed: December 29, 2020
    Date of Patent: March 4, 2025
    Assignee: Volvo Car Corporation
    Inventors: Saudin Botonjic, Sihao Ding, Ying Li, Cheng Zhang, Oskar Karnblad
  • ENSEMBLE LEARNING FOR CROSS-RANGE 3D OBJECT DETECTION IN DRIVER ASSIST AND AUTONOMOUS DRIVING SYSTEMS
    Publication number: 20220207822
    Abstract: A cross-range 3D object detection method and system operable for training a 3D object detection model with N sub-groups of a point cloud corresponding to N detection distance ranges to form N 3D object detection models forming an ensemble 3D object detection model. Training the 3D object detection model with the N sub-groups of the point cloud corresponding to the N detection distance ranges includes training the 3D object detection model progressively from distant to near. Training the 3D object detection model with the N sub-groups of the point cloud corresponding to the N detection distance ranges includes, each time the 3D object detection model converges, saving resulting weights and adding a corresponding network to the ensemble 3D object detection model.
    Type: Application
    Filed: December 29, 2020
    Publication date: June 30, 2022
    Inventors: Saudin Botonjic, Sihao Ding, Ying Li, Cheng Zhang, Oskar Karnblad