Patents by Inventor Matthew Paul Harrison

Matthew Paul Harrison 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: 20220215508
    Abstract: Examples disclosed herein relate to an autonomous driving system in an vehicle. The autonomous driving system includes a radar system configured to detect a target in a path and a surrounding environment of the vehicle and produce radar data with a first resolution that is gathered over a continuous field of view on the detected target. The system includes a super-resolution network configured to receive the radar data with the first resolution and produce radar data with a second resolution different from the first resolution using first neural networks. The system also includes a target identification module configured to receive the radar data with the second resolution and to identify the detected target from the radar data with the second resolution using second neural networks. Other examples disclosed herein include a method of operating the radar system in the autonomous driving system of the vehicle.
    Type: Application
    Filed: August 4, 2020
    Publication date: July 7, 2022
    Inventor: Matthew Paul HARRISON
  • Patent number: 11378654
    Abstract: Examples disclosed herein relate to an autonomous driving system in an ego vehicle. The autonomous driving system includes a radar system to detect a target in a path and a surrounding environment of the ego vehicle and produce radar data with a first resolution that is gathered over a continuous field of view on the detected target. The system includes a recurrent super-resolution network having recurrent encoder layers to receive the radar data with the first resolution and produce radar data with a second resolution using first neural networks. The recurrent encoder layers perform recurrence operations prior to a max pooling operation. The radar data with the second resolution may be produced from at least an output of the recurrent encoder layers. Other examples disclosed herein include a method of operating the radar system in the autonomous driving system of the ego vehicle.
    Type: Grant
    Filed: August 2, 2019
    Date of Patent: July 5, 2022
    Inventor: Matthew Paul Harrison
  • Patent number: 11327156
    Abstract: Examples disclosed herein relate to an autonomous driving system in a vehicle, including a radar system with a reinforcement learning engine to control a beam steering antenna and identity targets in a path and a surrounding environment of the vehicle, and a sensor fusion module to receive information from the radar system on the identified targets and compare the information received from the radar system to information received from at least one sensor in the vehicle.
    Type: Grant
    Filed: April 25, 2019
    Date of Patent: May 10, 2022
    Inventor: Matthew Paul Harrison
  • Patent number: 11269058
    Abstract: Examples disclosed herein relate to an autoencoder assisted radar for target identification. The radar includes an Intelligent Metamaterial (“iMTM”) antenna module to radiate a transmission signal with an iMTM antenna structure and generate radar data capturing a surrounding environment, a data pre-processing module having an autoencoder to encode the radar data into an information-dense representation, and an iMTM perception module to detect and identify a target in the surrounding environment based on the information-dense representation and to control the iMTM antenna module. An autoencoder for assisting a radar system and a method for identifying a target with an autoencoder assisted radar in a surrounding environment are also disclosed herein.
    Type: Grant
    Filed: June 13, 2019
    Date of Patent: March 8, 2022
    Assignee: Metawave Corporation
    Inventor: Matthew Paul Harrison
  • Publication number: 20220044359
    Abstract: Examples disclosed herein relate to an autonomous driving system in an vehicle. The autonomous driving system includes a radar system configured to detect a target in a path and a surrounding environment of the vehicle and produce radar data with a first resolution that is gathered over a continuous field of view on the detected target. The system includes a super-resolution network configured to receive the radar data with the first resolution and produce radar data with a second resolution different from the first resolution using first neural networks. The system also includes a target identification module configured to receive the radar data with the second resolution and to identify the detected target from the radar data with the second resolution using second neural networks. Other examples disclosed herein include a method of operating the radar system in the autonomous driving system of the vehicle.
    Type: Application
    Filed: August 4, 2020
    Publication date: February 10, 2022
    Inventor: Matthew Paul HARRISON
  • Publication number: 20210255300
    Abstract: Examples disclosed herein relate to a method for semi-supervised training of a radar system. The method includes training a first radar network of the radar system with a first set of radar object detection labels corresponding to a first set of radar data, training a generative adversarial network (GAN) with the trained first radar network, synthesizing a training data set for a second radar network of the radar system with the trained GAN, training a second radar network with the synthesized training data set, and generating a second set of radar object detection labels based on the training of the second radar network.
    Type: Application
    Filed: January 29, 2021
    Publication date: August 19, 2021
    Inventor: Matthew Paul Harrison
  • Publication number: 20210223359
    Abstract: Examples disclosed herein relate to generating continuous visualizations of beam steering vehicle radar scans by acquiring data for a beam steering radar scan, generating a Range Doppler Map (“RDM”) corresponding to the acquired radar data, displaying a visualization of the RDM showing a plurality of identified objects, shifting each identified object by its velocity to generate a shifted RDM, and updating the visualization at a display rate that is higher than a radar scan rate to display continuous movement. The display may be part of an augmented reality system presented to a driver on a windshield or dashboard.
    Type: Application
    Filed: January 7, 2021
    Publication date: July 22, 2021
    Inventor: Matthew Paul HARRISON
  • Publication number: 20210160702
    Abstract: Examples disclosed herein relate to a sensor fusion scanning system for wireless network planning.
    Type: Application
    Filed: November 23, 2020
    Publication date: May 27, 2021
    Inventor: Matthew Paul Harrison
  • Publication number: 20210103027
    Abstract: Examples disclosed herein relate to a multi-sensor fusion platform for use in autonomous vehicles, the multi-sensor fusion platform including a camera perception engine having a camera neural network to detect and identify objects in camera data, a lidar perception engine having a lidar neural network to detect and identify objects in lidar data, and a radar perception engine having a radar neural network to detect and identify objects in radar data, such that training of the radar neural network is bootstrapped with the camera and lidar neural networks.
    Type: Application
    Filed: December 4, 2020
    Publication date: April 8, 2021
    Inventor: Matthew Paul Harrison
  • Publication number: 20210055407
    Abstract: Systems, methods, and apparatus for hybrid radar and camera edge sensors are disclosed. Examples disclosed herein relate to a hybrid sensor system having a plurality of edge sensors positioned on the perimeter of a vehicle. The hybrid sensor system processes signals received from the various sensors to identify a target located within the vicinity of the vehicle.
    Type: Application
    Filed: August 24, 2020
    Publication date: February 25, 2021
    Inventors: Maha Achour, Matthew Paul Harrison
  • Publication number: 20200283026
    Abstract: A perception engine incorporating place information for a vehicular sensor. The system uses place information to trigger responses in a perception engine. In some examples the system implements a mirroring process in response to other vehicle actions.
    Type: Application
    Filed: March 9, 2020
    Publication date: September 10, 2020
    Inventors: Sandra Lynn GODSEY, Matthew Paul HARRISON
  • Patent number: 10739438
    Abstract: Examples disclosed herein relate to an autonomous driving system in an ego vehicle. The autonomous driving system includes a radar system configured to detect a target in a path and a surrounding environment of the ego vehicle and produce radar data with a first resolution that is gathered over a continuous field of view on the detected target. The system includes a super-resolution network configured to receive the radar data with the first resolution and produce radar data with a second resolution different from the first resolution using first neural networks. The system also includes a target identification module configured to receive the radar data with the second resolution and to identify the detected target from the radar data with the second resolution using second neural networks. Other examples disclosed herein include a method of operating the radar system in the autonomous driving system of the ego vehicle.
    Type: Grant
    Filed: June 20, 2019
    Date of Patent: August 11, 2020
    Inventor: Matthew Paul Harrison
  • Publication number: 20200249316
    Abstract: Examples disclosed herein relate to a radar system in an autonomous vehicle for object detection and classification. The radar system has a radar module having a dynamically controllable beam steering antenna and a perception module. The perception module includes a machine learning module trained on a first set of data and retrained on a second set of data to generate a set of object locations and classifications, and a classifier to use velocity information combined with the set of object locations and classifications to output a set of classified data.
    Type: Application
    Filed: February 4, 2020
    Publication date: August 6, 2020
    Inventor: Matthew Paul Harrison
  • Publication number: 20200041612
    Abstract: Examples disclosed herein relate to an autonomous driving system in an ego vehicle. The autonomous driving system includes a radar system to detect a target in a path and a surrounding environment of the ego vehicle and produce radar data with a first resolution that is gathered over a continuous field of view on the detected target. The system includes a recurrent super-resolution network having recurrent encoder layers to receive the radar data with the first resolution and produce radar data with a second resolution using first neural networks. The recurrent encoder layers perform recurrence operations prior to a max pooling operation. The radar data with the second resolution may be produced from at least an output of the recurrent encoder layers. Other examples disclosed herein include a method of operating the radar system in the autonomous driving system of the ego vehicle.
    Type: Application
    Filed: August 2, 2019
    Publication date: February 6, 2020
    Inventor: Matthew Paul HARRISON
  • Publication number: 20190391235
    Abstract: Examples disclosed herein relate to an autonomous driving system in an ego vehicle. The autonomous driving system includes a radar system configured to detect a target in a path and a surrounding environment of the ego vehicle and produce radar data with a first resolution that is gathered over a continuous field of view on the detected target. The system includes a super-resolution network configured to receive the radar data with the first resolution and produce radar data with a second resolution different from the first resolution using first neural networks. The system also includes a target identification module configured to receive the radar data with the second resolution and to identify the detected target from the radar data with the second resolution using second neural networks. Other examples disclosed herein include a method of operating the radar system in the autonomous driving system of the ego vehicle.
    Type: Application
    Filed: June 20, 2019
    Publication date: December 26, 2019
    Inventor: Matthew Paul HARRISON
  • Publication number: 20190383904
    Abstract: Examples disclosed herein relate to an autoencoder assisted radar for target identification. The radar includes an Intelligent Metamaterial (“iMTM”) antenna module to radiate a transmission signal with an iMTM antenna structure and generate radar data capturing a surrounding environment, a data pre-processing module having an autoencoder to encode the radar data into an information-dense representation, and an iMTM perception module to detect and identify a target in the surrounding environment based on the information-dense representation and to control the iMTM antenna module. An autoencoder for assisting a radar system and a method for identifying a target with an autoencoder assisted radar in a surrounding environment are also disclosed herein.
    Type: Application
    Filed: June 13, 2019
    Publication date: December 19, 2019
    Inventor: Matthew Paul Harrison
  • Publication number: 20190375425
    Abstract: Examples disclosed herein relate to an autonomous driving system in an ego vehicle. The autonomous driving system includes a radar system configured to detect and identify a target in a path and a surrounding environment of the ego vehicle. The autonomous driving system also includes a sensor fusion module configured to receive radar data on the identified target from the radar system and compare the identified target with one or more targets identified by a plurality of perception sensors that are geographically disparate from the radar system. Other examples disclosed herein include a method of operating the radar system in the autonomous driving system of the ego vehicle.
    Type: Application
    Filed: June 5, 2019
    Publication date: December 12, 2019
    Inventor: Matthew Paul Harrison