Patents by Inventor Jinesh Jain

Jinesh Jain 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: 20220234617
    Abstract: A system comprising a computer including a processor and a memory, the memory including instructions such that the processor is programmed to: process vehicle sensor data with a deep neural network to generate a prediction indicative of one or more objects based on the data and determine an object uncertainty corresponding to the prediction and when the object uncertainty is greater than an uncertainty threshold, segment the vehicle sensor data into a foreground portion and a background portion. Classify the foreground portion as including an unseen object class when a foreground uncertainty is greater than a foreground uncertainty threshold; classify the background portion as including unseen background when a background uncertainty is greater than a background uncertainty threshold; and transmit the data and a data classification to a server.
    Type: Application
    Filed: January 26, 2021
    Publication date: July 28, 2022
    Applicant: Ford Global Technologies, LLC
    Inventors: Gautham Sholingar, Sowndarya Sundar, Jinesh Jain, Shreyasha Paudel
  • Publication number: 20220207348
    Abstract: A system comprising a computer including a processor and a memory, the memory including instructions such that the processor is programmed to: determine whether a difference between a friction coefficient label and a determined friction coefficient corresponding to an image depicting a surface is greater than a label threshold; modify the determined friction coefficient to equal the friction coefficient label when the difference is greater than the label threshold; and retrain a neural network using the image and the friction coefficient label.
    Type: Application
    Filed: December 29, 2020
    Publication date: June 30, 2022
    Applicant: Ford Global Technologies, LLC
    Inventors: Sara Dadras, Jinesh Jain, Shreyasha Paudel
  • Publication number: 20220065992
    Abstract: A system can include a computer including a processor and a memory, the memory storing instructions executable by the processor to receive point cloud data. The instructions further include instructions to generate a plurality of feature maps based on the point cloud data, each feature map of the plurality of feature maps corresponding to a parameter of the point cloud data. The instructions further include instructions to aggregate the plurality of feature maps into an aggregated feature map. The instructions further include instructions to generate, via a feedforward neural network, at least one of a segmentation output or a classification output based on the aggregated feature map.
    Type: Application
    Filed: September 1, 2020
    Publication date: March 3, 2022
    Applicant: Ford Global Technologies, LLC
    Inventors: Marcos Paul GERARDO CASTRO, Feng Jin, Jinesh Jain
  • Publication number: 20220027653
    Abstract: Systems, methods, and devices for estimating a shape of an object based on sensor data and determining a presence of a fault or a failure in a perception system. A method of the disclosure includes receiving sensor data from a range sensor and calculating a current shape reconstruction of an object based on the sensor data. The method includes retrieving from memory a prior shape reconstruction of the object based on prior sensor data. The method includes calculating a quality score for the current shape reconstruction by balancing a function of resulted variances of the current shape reconstruction and a similarity between the current shape reconstruction and the prior shape reconstruction.
    Type: Application
    Filed: September 30, 2021
    Publication date: January 27, 2022
    Inventors: Marcos Paul Gerardo Castro, Jinesh Jain, Bruno Sielly Jales Costa
  • Patent number: 11209831
    Abstract: A vehicle system includes a processor and a memory. The memory stores instructions executable by the processor to identify an area of interest from a plurality of areas on a map, to determine that a detected sound is received in a vehicle audio sensor upon determining that a source of the sound is within the area of interest and not another area in the plurality of areas, and to operate the vehicle based at least in part on the detected sound.
    Type: Grant
    Filed: May 3, 2019
    Date of Patent: December 28, 2021
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Shreyasha Paudel, Jinesh Jain, Gaurav Pandey
  • Patent number: 11210535
    Abstract: A system comprises a computer that includes a processor and a memory.
    Type: Grant
    Filed: August 17, 2020
    Date of Patent: December 28, 2021
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Gaurav Pandey, Ganesh Kumar, Praveen Narayanan, Jinesh Jain
  • Patent number: 11164015
    Abstract: Systems, methods, and devices for estimating a shape of an object based on sensor data and determining a presence of a fault or a failure in a perception system. A method of the disclosure includes receiving sensor data from a range sensor and calculating a current shape reconstruction of an object based on the sensor data. The method includes retrieving from memory a prior shape reconstruction of the object based on prior sensor data. The method includes calculating a quality score for the current shape reconstruction by balancing a function of resulted variances of the current shape reconstruction and a similarity between the current shape reconstruction and the prior shape reconstruction.
    Type: Grant
    Filed: May 8, 2018
    Date of Patent: November 2, 2021
    Assignee: Ford Global Technologies, LLC
    Inventors: Marcos Paul Gerardo Castro, Jinesh Jain, Bruno Sielly Jales Costa
  • Publication number: 20210256321
    Abstract: A computer includes a processor and a memory storing instructions executable by the processor to collect a plurality of data sets, each data set from a respective sensor in a plurality of sensors, and each data set including a range, an azimuth angle, and a range rate for a detection point of the respective one of the sensors on an object to determine, for each detection point, a radial component of a ground speed of the detection point based on the data set associated with the detection point and a speed of a vehicle, and to generate a plurality of clusters, each cluster including selected detection points within a distance threshold from each other and having respective radial components of ground speeds that are (1) above a first threshold and (2) within a second threshold of each other.
    Type: Application
    Filed: February 14, 2020
    Publication date: August 19, 2021
    Applicant: Ford Global Technologies, LLC
    Inventors: Marcos Paul Gerardo Castro, Jinhyoung Oh, Jinesh Jain
  • Patent number: 11030364
    Abstract: The present invention extends to methods, systems, and computer program products for evaluating autonomous vehicle algorithms. Aspects use (e.g., supervised) machine learning techniques to analyze performance of autonomous vehicle algorithms on real world and simulated data. Machine learning techniques can be used to identify scenario features that are more likely to influence algorithm performance. Machine learning techniques can also be used to consolidate insights and automate the generation of relevant test cases over multiple iterations to identify error-prone scenarios.
    Type: Grant
    Filed: September 12, 2018
    Date of Patent: June 8, 2021
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Gautham Sholingar, Sravani Yajamanam Kidambi, Vidya Nariyambut Murali, Jinesh Jain
  • Patent number: 10849543
    Abstract: Data from sensors of a vehicle is captured along with data tracking a driver's gaze. The route traveled by the vehicle may also be captured. The driver's gaze is evaluated with respect to the sensor data to determine a feature the driver was focused on. A focus record is created for the feature. Focus records for many drivers may be aggregated to determine a frequency of observation of the feature. A machine learning model may be trained using the focus records to identify a region of interest for a given scenario in order to more quickly identify relevant hazards.
    Type: Grant
    Filed: June 8, 2018
    Date of Patent: December 1, 2020
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Shreyasha Paudel, Jinesh Jain, Clifton Thomas
  • Publication number: 20200348687
    Abstract: A vehicle system includes a processor and a memory. The memory stores instructions executable by the processor to identify an area of interest from a plurality of areas on a map, to determine that a detected sound is received in a vehicle audio sensor upon determining that a source of the sound is within the area of interest and not another area in the plurality of areas, and to operate the vehicle based at least in part on the detected sound.
    Type: Application
    Filed: May 3, 2019
    Publication date: November 5, 2020
    Applicant: Ford Global Technologies, LLC
    Inventors: Shreyasha Paudel, Jinesh Jain, Gaurav Pandey
  • Publication number: 20200082034
    Abstract: The present invention extends to methods, systems, and computer program products for evaluating autonomous vehicle algorithms. Aspects use (e.g., supervised) machine learning techniques to analyze performance of autonomous vehicle algorithms on real world and simulated data. Machine learning techniques can be used to identify scenario features that are more likely to influence algorithm performance. Machine learning techniques can also be used to consolidate insights and automate the generation of relevant test cases over multiple iterations to identify error-prone scenarios.
    Type: Application
    Filed: September 12, 2018
    Publication date: March 12, 2020
    Inventors: Gautham Sholingar, Sravani Yajamanam Kidambi, Vidya Nariyambut Murali, Jinesh Jain
  • Publication number: 20190374151
    Abstract: Data from sensors of a vehicle is captured along with data tracking a driver's gaze. The route traveled by the vehicle may also be captured. The driver's gaze is evaluated with respect to the sensor data to determine a feature the driver was focused on. A focus record is created for the feature. Focus records for many drivers may be aggregated to determine a frequency of observation of the feature. A machine learning model may be trained using the focus records to identify a region of interest for a given scenario in order to more quickly identify relevant hazards.
    Type: Application
    Filed: June 8, 2018
    Publication date: December 12, 2019
    Inventors: Shreyasha Paudel, Jinesh Jain, Clifton Thomas
  • Publication number: 20190347494
    Abstract: Systems, methods, and devices for estimating a shape of an object based on sensor data and determining a presence of a fault or a failure in a perception system. A method of the disclosure includes receiving sensor data from a range sensor and calculating a current shape reconstruction of an object based on the sensor data. The method includes retrieving from memory a prior shape reconstruction of the object based on prior sensor data. The method includes calculating a quality score for the current shape reconstruction by balancing a function of resulted variances of the current shape reconstruction and a similarity between the current shape reconstruction and the prior shape reconstruction.
    Type: Application
    Filed: May 8, 2018
    Publication date: November 14, 2019
    Inventors: Marcos Paul Gerardo Castro, Jinesh Jain, Bruno Sielly Jales Costa
  • Patent number: 6949276
    Abstract: A bladder shell for inflatable balls having a layer of blended synthetic latex and natural rubber latex compounded with an anti-oxidant, an activator, an accelerator, a thickening agent, a wetting agent, and a stabilizer etc. to form a low air permeability and high bounce bladder shell having thickness of between 0.25 mm to 3.0 mm. Also disclosed is a process for the preparation of the bladder shell that includes dipping former in a bath of blended natural rubber latex and synthetic latex.
    Type: Grant
    Filed: February 10, 2003
    Date of Patent: September 27, 2005
    Assignees: Enkay (India) Rubber Company, Private Limited
    Inventors: Satish Jain, Naresh Jain, Anil Jain, Vipin Jain, Jinesh Jain
  • Publication number: 20030175458
    Abstract: A bladder shell for inflatable balls having at least a pair of layers of compounded synthetic latex and compounded natural rubber latex or at least a layer of blended synthetic latex and natural rubber latex compounded with anti-oxidant, activators, accelerators, thickening and wetting agents, stabilizers etc. to form a low air permeability and high bounce bladder shell having thickness of between 0.25 mm to 3.0 mm.
    Type: Application
    Filed: February 10, 2003
    Publication date: September 18, 2003
    Inventors: Satish Jain, Naresh Jain, Anil Jain, Vipin Jain, Jinesh Jain
  • Patent number: 6544608
    Abstract: A bladder shell for inflatable balls having at least a pair of layers of compounded synthetic latex and compounded natural rubber latex or at least a layer of blended synthetic latex and natural rubber latex compounded with anti-oxidant, activators, accelerators, thickening and wetting agents, stabilizers etc. to form a low air permeability and high bounce bladder shell having thickness of between 0.25 mm to 3.0 mm. The present invention also defines a process for the preparation of the bladder shell comprising formation of at least a layer of natural rubber latex and a synthetic latex each. The process of the present invention comprises dipping the former in not only a natural rubber latex bath but also in the synthetic latex bath. In an another embodiment, the process comprises dipping the former in the bath comprising blended natural rubber latex and synthetic latex.
    Type: Grant
    Filed: October 19, 1999
    Date of Patent: April 8, 2003
    Inventors: Satish Jain, Naresh Jain, Anil Jain, Vipin Jain, Jinesh Jain