Patents by Inventor David Jonathan Julian

David Jonathan Julian 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: 20200160699
    Abstract: Systems, devices and methods provide, implement, and use vision-based methods of sequence inference for a device affixed to a vehicle.
    Type: Application
    Filed: December 20, 2019
    Publication date: May 21, 2020
    Applicant: NETRADYNE, INC.
    Inventors: Venkata Sreekanta Reddy Annapureddy, Michael Campos, Arvind Yedla, David Jonathan Julian
  • Publication number: 20200135016
    Abstract: Systems and methods provide, implement, and use using a computer-vision based methods of context-sensitive monitoring and characterization of driver behavior. Additional systems and methods are provided for unsupervised learning of action values, monitoring of a driver's environment, and transmitting visual information from a client to a server.
    Type: Application
    Filed: December 23, 2019
    Publication date: April 30, 2020
    Applicant: NETRADYNE, INC.
    Inventors: David Jonathan Julian, Avneesh Agrawal
  • Publication number: 20200111350
    Abstract: Systems and methods provide, implement, and use using a computer-vision based methods of context-sensitive monitoring and characterization of driver behavior. Additional systems and methods are provided for unsupervised learning of action values, monitoring of a driver's environment, and transmitting visual information from a client to a server.
    Type: Application
    Filed: December 5, 2019
    Publication date: April 9, 2020
    Applicant: NETRADYNE, INC.
    Inventors: David Jonathan Julian, Avneesh Agrawal
  • Publication number: 20200058218
    Abstract: Systems and methods are provided for determining cause of atypical traffic events and/or encouraging good driving behavior. The systems and methods may involve a camera sensor and/or inertial sensors to detect traffic events, as well analytical methods that may attribute a cause to the traffic event. The systems and methods include a processor that is configured to determine an occurrence of an atypical traffic event at or near a monitored vehicle; and determine a cause of the atypical traffic event based on data collected at the monitored vehicle, wherein the cause of the atypical traffic event is at least one of: a driver or control system of the monitored vehicle; a second driver or second control system of a second vehicle; and a road condition.
    Type: Application
    Filed: July 31, 2017
    Publication date: February 20, 2020
    Applicant: NetraDyne Inc.
    Inventors: David Jonathan JULIAN, Venkata Sreekanta Reddy ANNAPUREDDY, Michael CAMPOS, Avneesh AGRAWAL, Adam David KAHN, Sandeep PANDYA
  • Patent number: 10474949
    Abstract: A method for classifying an object includes applying multiple confidence values to multiple objects. The method also includes determining a metric based on the multiple confidence values. The method further includes determining a classification of a first object from the multiple objects based on a knowledge-graph when the metric is above a threshold.
    Type: Grant
    Filed: October 30, 2014
    Date of Patent: November 12, 2019
    Assignee: Qualcomm Incorporated
    Inventors: Somdeb Majumdar, Regan Blythe Towal, Sachin Subhash Talathi, David Jonathan Julian, Venkata Sreekanta Reddy Annapureddy
  • Publication number: 20190333371
    Abstract: Systems and methods provide, implement, and use using a computer-vision based methods of context-sensitive monitoring and characterization of driver behavior. Additional systems and methods are provided for unsupervised learning of action values, monitoring of a driver's environment, and transmitting visual information from a client to a server.
    Type: Application
    Filed: July 10, 2019
    Publication date: October 31, 2019
    Inventors: David Jonathan Julian, Avneesh Agrawal
  • Patent number: 10460600
    Abstract: Systems and methods provide, implement, and use using a computer-vision based methods of context-sensitive monitoring and characterization of driver behavior. Additional systems and methods are provided for unsupervised learning of action values, monitoring of a driver's environment, and transmitting visual information from a client to a server.
    Type: Grant
    Filed: February 21, 2017
    Date of Patent: October 29, 2019
    Assignee: NETRADYNE, INC.
    Inventors: David Jonathan Julian, Avneesh Agrawal
  • Patent number: 10373050
    Abstract: A method of quantizing a floating point machine learning network to obtain a fixed point machine learning network using a quantizer may include selecting at least one moment of an input distribution of the floating point machine learning network. The method may also include determining quantizer parameters for quantizing values of the floating point machine learning network based at least in part on the at least one selected moment of the input distribution of the floating point machine learning network to obtain corresponding values of the fixed point machine learning network.
    Type: Grant
    Filed: October 22, 2015
    Date of Patent: August 6, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: Dexu Lin, Venkata Sreekanta Reddy Annapureddy, David Edward Howard, David Jonathan Julian, Somdeb Majumdar, William Richard Bell, II
  • Patent number: 10339447
    Abstract: A method for selecting a reduced number of model neurons in a neural network includes generating a first sparse set of non-zero decoding vectors. Each of the decoding vector is associated with a synapse between a first neuron layer and a second neuron layer. The method further includes implementing the neural network only with selected model neurons in the first neuron layer associated with the non-zero decoding vectors.
    Type: Grant
    Filed: July 31, 2014
    Date of Patent: July 2, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: Sachin Subhash Talathi, David Jonathan Julian, Venkata Sreekanta Reddy Annapureddy
  • Patent number: 10318848
    Abstract: A method of training for image classification includes labelling a crop from an image including an object of interest. The crop may be labelled with an indication of whether the object of interest is framed, partially framed or not present in the crop. The method may also include assigning a fully framed class to the labelled crop, including the object of interest, if the object of interest is framed. A labelled crop may be assigned a partially framed class if the object of interest is partially framed. A background class may be assigned to a labelled crop if the object of interest is not present in the crop.
    Type: Grant
    Filed: August 25, 2016
    Date of Patent: June 11, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: Daniel Hendricus Franciscus Dijkman, David Jonathan Julian
  • Publication number: 20190171668
    Abstract: Systems and methods are provided for distributed video storage and search with edge computing. The method may comprise caching a first portion of data on a first device. The method may further comprise determining, at a second device, whether the first device has the first portion of data. The determining may be based on whether the first piece of data satisfies a specified criterion. The method may further comprise sending the data, or a portion of the data, and/or a representation of the data from the first device to a third device.
    Type: Application
    Filed: August 8, 2017
    Publication date: June 6, 2019
    Inventors: Avneesh AGRAWAL, David Jonathan JULIAN, Venkata Sreekanta Reddy ANNAPUREDDY, Manoj Venkata TUTIKA, Vinay Kumar RAI, Sandeep PANDYA, Adam David KAHN, Michael CAMPOS, Badugu Naveen CHAKRAVARTHY, Ankur NIGAM, Praveen KUMAR, Tejeswara Rao GUDENA, Karan KISHORE
  • Patent number: 10275719
    Abstract: Hyper-parameters are selected for training a deep convolutional network by selecting a number of network architectures as part of a database. Each of the network architectures includes one or more local logistic regression layer and is trained to generate a corresponding validation error that is stored in the database. A threshold error for identifying a good set of network architectures and a bad set of network architectures may be estimated based on validation errors in the database. The method also includes choosing a next potential hyper-parameter, corresponding to a next network architecture, based on a metric that is a function of the good set of network architectures. The method further includes selecting a network architecture, from among next network architectures, with a lowest validation error.
    Type: Grant
    Filed: September 8, 2015
    Date of Patent: April 30, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: Sachin Subhash Talathi, David Jonathan Julian
  • Patent number: 10262259
    Abstract: A method for selecting bit widths for a fixed point machine learning model includes evaluating a sensitivity of model accuracy to bit widths at each computational stage of the model. The method also includes selecting a bit width for parameters, and/or intermediate calculations in the computational stages of the mode. The bit width for the parameters and the bit width for the intermediate calculations may be different. The selected bit width may be determined based on the sensitivity evaluation.
    Type: Grant
    Filed: November 9, 2015
    Date of Patent: April 16, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: Dexu Lin, Venkata Sreekanta Reddy Annapureddy, David Jonathan Julian, Casimir Matthew Wierzynski
  • Patent number: 10223635
    Abstract: Compressing a machine learning network, such as a neural network, includes replacing one layer in the neural network with compressed layers to produce the compressed network. The compressed network may be fine-tuned by updating weight values in the compressed layer(s).
    Type: Grant
    Filed: September 4, 2015
    Date of Patent: March 5, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: Venkata Sreekanta Reddy Annapureddy, Daniel Hendricus Franciscus Dijkman, David Jonathan Julian
  • Publication number: 20190057314
    Abstract: Systems and methods are provided for embedded data inference. The systems and methods may process camera and other sensor data in by leveraging processing and storage capacity of one or more devices nearby or in the cloud to augment or update the sensor processing of an embedded device. The joint processing may be used in stationary cameras or in vehicular systems such as cars and drones, and may improve crop assessments, navigation, and safety.
    Type: Application
    Filed: October 25, 2016
    Publication date: February 21, 2019
    Applicant: Netradyne Inc
    Inventors: David Jonathan JULIAN, Avneesh AGRAWAL
  • Patent number: 10210464
    Abstract: A method of online training of a classifier includes determining a distance from one or more feature vectors of an object to a first predetermined decision boundary established during off-line training for the classifier. The method also includes updating a decision rule as a function of the distance. The method further includes classifying a future example based on the updated decision rule.
    Type: Grant
    Filed: September 16, 2015
    Date of Patent: February 19, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: David Jonathan Julian, Anthony Sarah
  • Publication number: 20190025853
    Abstract: The present disclosure provides systems and methods for mapping a determined path of travel. The path of travel may be mapped to a camera view of a camera affixed to a vehicle. In some embodiments, the path of travel may be mapped to another view that is based on a camera, such as a bird's eye view anchored to the camera's position at a given time. These systems and methods may determine the path of travel by incorporating data from later points in time.
    Type: Application
    Filed: September 21, 2018
    Publication date: January 24, 2019
    Applicant: NETRADYNE INC.
    Inventors: David Jonathan Julian, Avneesh Agrawal, Venkata Sreekanta Reddy Annapureddy
  • Publication number: 20180341706
    Abstract: Systems and methods are provided for distributed video storage and search over edge computing devices having a short-term memory and a long-term memory. The method may comprise caching a first portion of data on a first device. The method may further comprise determining, at a second device, whether the first device has the first portion of data. The determining may be based on whether the first piece of data satisfies a specified criterion. The method may further comprise sending the data, or a portion of the data, and/or a representation of the data from the first device to a third device.
    Type: Application
    Filed: August 6, 2018
    Publication date: November 29, 2018
    Applicant: NETRADYNE INC.
    Inventors: Avneesh Agrawal, Arun Valiaparambil, Tejeswara Rao Gudena, Anirudh Maringanti, David Jonathan Julian
  • Patent number: 10140573
    Abstract: Methods and apparatus are provided for processing in an artificial nervous system. According to certain aspects, resolution of one or more functions performed by processing units of a neuron model may be reduced, based at least in part on availability of computational resources or a power target or budget. The reduction in resolution may be compensated for by adjusting one or more network weights.
    Type: Grant
    Filed: May 2, 2014
    Date of Patent: November 27, 2018
    Assignee: QUALCOMM Incorporated
    Inventors: David Jonathan Julian, Ilwoo Chang
  • Publication number: 20180260401
    Abstract: Systems, devices, and methods are provided for distributed search with edge computing. Enabled systems and devices may overcome challenges associated with searching data captured by one or more connected devices, including privacy, security, bandwidth, backhaul, and memory storage.
    Type: Application
    Filed: June 9, 2017
    Publication date: September 13, 2018
    Applicant: NetraDyne Inc
    Inventors: Avneesh Agrawal, David Jonathan Julian, Venkata Sreekanta Reddy Annapureddy, Manoj Venkata Tutika, Vinay Kumar Rai