Patents by Inventor Jeffrey Baginsky GEHLHAAR

Jeffrey Baginsky GEHLHAAR 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).

  • Unmanned aerial vehicle obstacle detection and avoidance
    Patent number: 10019907
    Abstract: Apparatuses and methods for detecting an obstacle in a path of an Unmanned Aerial Vehicle (UAV) are described herein, including, but not limited to, receiving data from a single image/video capturing device of the UAV, computing a score based on the received data, and performing at least one obstacle avoidance maneuver based on the score.
    Type: Grant
    Filed: January 6, 2016
    Date of Patent: July 10, 2018
    Assignee: QUALCOMM Incorporated
    Inventors: Parag Mohan Kanade, Charles Wheeler Sweet, III, Jeffrey Baginsky Gehlhaar
  • Methods and apparatus for implementation of group tags for neural models
    Patent number: 9959499
    Abstract: Certain aspects of the present disclosure support assigning neurons and/or synapses to group tags where group tags have an associated set of parameters. By using group tags, neurons or synapses in a population can be assigned a group tag. Then, by changing a parameter associated with the group tag, all synapses or neurons in the group may have that parameter changed.
    Type: Grant
    Filed: May 2, 2014
    Date of Patent: May 1, 2018
    Assignee: QUALCOMM Incorporated
    Inventors: David Jonathan Julian, Jeffrey Alexander Levin, Jeffrey Baginsky Gehlhaar
  • Method and apparatus for efficient implementation of common neuron models
    Patent number: 9672464
    Abstract: Certain aspects of the present disclosure support efficient implementation of common neuron models. In an aspect, a first memory layout can be allocated for parameters and state variables of instances of a first neuron model, and a second memory layout different from the first memory layout can be allocated for parameters and state variables of instances of a second neuron model having a different complexity than the first neuron model.
    Type: Grant
    Filed: May 1, 2014
    Date of Patent: June 6, 2017
    Assignee: QUALCOMM Incorporated
    Inventors: Anthony Sarah, Jeffrey Alexander Levin, Jeffrey Baginsky Gehlhaar
  • UNMANNED AERIAL VEHICLE OBSTACLE DETECTION AND AVOIDANCE
    Publication number: 20170076616
    Abstract: Apparatuses and methods for detecting an obstacle in a path of an Unmanned Aerial Vehicle (UAV) are described herein, including, but not limited to, receiving data from a single image/video capturing device of the UAV, computing a score based on the received data, and performing at least one obstacle avoidance maneuver based on the score.
    Type: Application
    Filed: January 6, 2016
    Publication date: March 16, 2017
    Inventors: Parag Mohan Kanade, Charles Wheeler Sweet, III, Jeffrey Baginsky Gehlhaar
  • METHOD AND APPARATUS FOR EFFICIENT IMPLEMENTATION OF COMMON NEURON MODELS
    Publication number: 20150248607
    Abstract: Certain aspects of the present disclosure support efficient implementation of common neuron models. In an aspect, a first memory layout can be allocated for parameters and state variables of instances of a first neuron model, and a second memory layout different from the first memory layout can be allocated for parameters and state variables of instances of a second neuron model having a different complexity than the first neuron model.
    Type: Application
    Filed: May 1, 2014
    Publication date: September 3, 2015
    Applicant: QUALCOMM INCORPORATED
    Inventors: Anthony SARAH, Jeffrey Alexander LEVIN, Jeffrey Baginsky GEHLHAAR
  • METHODS AND APPARATUS FOR IMPLEMENTATION OF GROUP TAGS FOR NEURAL MODELS
    Publication number: 20150088796
    Abstract: Certain aspects of the present disclosure support assigning neurons and/or synapses to group tags where group tags have an associated set of parameters. By using group tags, neurons or synapses in a population can be assigned a group tag. Then, by changing a parameter associated with the group tag, all synapses or neurons in the group may have that parameter changed.
    Type: Application
    Filed: May 2, 2014
    Publication date: March 26, 2015
    Applicant: QUALCOMM INCORPORATED
    Inventors: David Jonathan JULIAN, Jeffrey Alexander LEVIN, Jeffrey Baginsky GEHLHAAR