Patents by Inventor Harpreetsingh Banvait

Harpreetsingh Banvait 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: 20170364776
    Abstract: A machine learning model is trained by defining a scenario including models of vehicles and a typical driving environment. A model of a subject vehicle is added to the scenario and sensor locations are defined on the subject vehicle. A perception of the scenario by sensors at the sensor locations is simulated. The scenario further includes a model of a parked vehicle with its engine running. The location of the parked vehicle and the simulated outputs of the sensors perceiving the scenario are input to a machine learning algorithm that trains a model to detect the location of the parked vehicle based on the sensor outputs. A vehicle controller then incorporates the machine learning model and estimates the presence and/or location of a parked vehicle with its engine running based on actual sensor outputs input to the machine learning model.
    Type: Application
    Filed: June 15, 2016
    Publication date: December 21, 2017
    Inventors: Ashley Elizabeth Micks, Jinesh J. Jain, Kyu Jeong Han, Harpreetsingh Banvait
  • Publication number: 20170355263
    Abstract: Example blind spot detection systems and methods are described. In one implementation, a primary vehicle detects a secondary vehicle ahead of the primary vehicle in an adjacent lane of traffic. A method determines dimensions of the secondary vehicle and estimates a vehicle class associated with the secondary vehicle based on the dimensions of the secondary vehicle. The method also identifies a side-view mirror location on the secondary vehicle and determines a blind spot associated with the secondary vehicle based on the vehicle class and the side-view mirror location.
    Type: Application
    Filed: June 13, 2016
    Publication date: December 14, 2017
    Inventors: Harpreetsingh Banvait, Jinesh J. Jain
  • Publication number: 20170357859
    Abstract: Example blind spot detection systems and methods are described. In one implementation, a primary vehicle detects a secondary vehicle ahead of the primary vehicle in an adjacent lane of traffic. A method determines dimensions of the secondary vehicle and estimates a vehicle class associated with the secondary vehicle based on the dimensions of the secondary vehicle. The method also identifies a side-view mirror location on the secondary vehicle and determines a blind spot associated with the secondary vehicle based on the vehicle class and the side-view mirror location.
    Type: Application
    Filed: June 13, 2016
    Publication date: December 14, 2017
    Inventors: Jinesh J. Jain, Harpreetsingh Banvait
  • Patent number: 9803391
    Abstract: Example vehicle unlocking systems and methods are described. In one implementation, a method detects a vehicle access device within a predetermined distance of a vehicle and determines a geographic location of the vehicle. The method also detects a time of day and determines previous door unlocking behavior associated with the vehicle access device. A vehicle access point is selected for unlocking based on the geographic location, time of day, and previous door unlocking behavior.
    Type: Grant
    Filed: September 11, 2015
    Date of Patent: October 31, 2017
    Assignee: Ford Global Technologies, LLC
    Inventor: Harpreetsingh Banvait
  • Publication number: 20170293808
    Abstract: A method is disclosed for using a camera on-board a vehicle to determine whether precipitation is failing near the vehicle. The method may include obtaining multiple images. Each of the multiple images may be known to photographically depict a “rain” or a “no rain” condition. An artificial neural network may be trained on the multiple images. Later, the artificial neural network may analyze one or more images captured by a first camera secured to a first vehicle. Based on that analysis, the artificial neural network may classify the first vehicle as being in “rain” or “no rain” weather.
    Type: Application
    Filed: April 11, 2016
    Publication date: October 12, 2017
    Inventors: Jinesh J. Jain, Harpreetsingh Banvait, Ashley Elizabeth Micks, Vidya Nariyambut Murali
  • Publication number: 20170294121
    Abstract: The present invention extends to methods, systems, and computer program products for detecting available parking spaces in a parking environment. Radar systems are utilized to gather data about a parking lot environment. The radar data is provided to a neural network model as an input. Algorithms employing neural networks can be trained to recognize parked vehicles and conflicting data regarding debris, shopping carts, street lamps, traffic signs, pedestrians, etc. The neural network model processes the radar data to estimate parking space boundaries and to approximate the parking space boundaries as splines. The neural network model outputs spline estimations to a vehicle computer system. The vehicle computer system utilizes the spline estimates to detect available parking spaces. The spline estimates are updated as the vehicle navigates the parking environment.
    Type: Application
    Filed: April 12, 2016
    Publication date: October 12, 2017
    Inventors: Jinesh J Jain, Sneha Kadetotad, Harpreetsingh Banvait, Vidya Nariyambut Murali, Peter Gyumyeong Joh
  • Publication number: 20170293816
    Abstract: The disclosure relates to methods, systems, and apparatuses for virtual sensor data generation and more particularly relates to generation of virtual sensor data for training and testing models or algorithms to detect objects or obstacles. A method for generating virtual sensor data includes simulating, using one or more processors, a three-dimensional (3D) environment comprising one or more virtual objects. The method includes generating, using one or more processors, virtual sensor data for a plurality of positions of one or more sensors within the 3D environment. The method includes determining, using one or more processors, virtual ground truth corresponding to each of the plurality of positions, wherein the ground truth comprises a dimension or parameter of the one or more virtual objects. The method includes storing and associating the virtual sensor data and the virtual ground truth using one or more processors.
    Type: Application
    Filed: June 19, 2017
    Publication date: October 12, 2017
    Inventors: Ashley Elizabeth Micks, Venkatapathi Raju Nallapa, Harpreetsingh Banvait, Scott Vincent Myers
  • Publication number: 20170248955
    Abstract: A controller for an autonomous vehicle receives audio signals from one or more microphones. The audio signals are input to a machine learning model that classifies the source of the audio features. For example, features may be classified as originating from a vehicle. A direction to a source of the audio features is determined based on relative delays of the audio features in signals from multiple microphones. Where audio features are classified with an above-threshold confidence as originating from a vehicle, collision avoidance is performed with respect to the direction to the source of the audio features. The direction to the source of the audio features may be correlated with vehicle images and/or map data to increase a confidence score that the source of the audio features is a parked vehicle with its engine running. Collision avoidance may then be performed with potential paths of the parked vehicle.
    Type: Application
    Filed: February 26, 2016
    Publication date: August 31, 2017
    Inventors: Harpreetsingh Banvait, Jinesh J. Jain, Kyu Jeong Han
  • Patent number: 9740944
    Abstract: The disclosure relates to methods, systems, and apparatuses for virtual sensor data generation and more particularly relates to generation of virtual sensor data for training and testing models or algorithms to detect objects or obstacles, such as wheel stops or parking barriers. A method for generating virtual sensor data includes simulating a three-dimensional (3D) environment comprising one or more objects. The method includes generating virtual sensor data for a plurality of positions of one or more sensors within the 3D environment. The method includes determining virtual ground truth corresponding to each of the plurality of positions, wherein the ground truth includes information about at least one object within the virtual sensor data. The method also includes storing and associating the virtual sensor data and the virtual ground truth.
    Type: Grant
    Filed: December 18, 2015
    Date of Patent: August 22, 2017
    Assignee: Ford Global Technologies, LLC
    Inventors: Ashley Elizabeth Micks, Venkatapathi Raju Nallapa, Harpreetsingh Banvait, Scott Vincent Myers
  • Publication number: 20170221365
    Abstract: The disclosure relates generally to methods, systems, and apparatuses for automated or assisted driving and more particularly relates to identification, localization, and navigation with respect to bollard receivers. A method for detecting bollard receivers includes receiving perception data from one or more perception sensors of a vehicle. The method includes determining, based on the perception data, a location of one or more bollard receivers in relation to a body of the vehicle. The method also includes providing an indication of the location of the one or more bollard receivers to one or more of a driver and component or system that makes driving maneuver decisions.
    Type: Application
    Filed: January 29, 2016
    Publication date: August 3, 2017
    Inventors: Harpreetsingh Banvait, Scott Vincent Myers, Ashley Elizabeth Micks, Sneha Kadetotad
  • Publication number: 20170217276
    Abstract: A method for improving the safety and comfort of a vehicle driving over a railroad track, cattle guard, or the like. The method may include receiving, by a computer system, one or more inputs corresponding to one or more forward looking sensors. The computer system may also receive data characterizing a motion of the vehicle. The computer system may estimate, based on the one or more inputs and the data, a motion of a vehicle with respect to a railroad track, cattle guard, or the like extending across a road ahead of the vehicle. Accordingly, the computer system may change a suspension setting, steering setting, or the like of the vehicle to more safely or comfortably drive over the railroad track, cattle guard, or the like.
    Type: Application
    Filed: February 3, 2016
    Publication date: August 3, 2017
    Inventors: Harpreetsingh Banvait, Scott Vincent Myers, Ashley Elizabeth Micks, Sneha Kadetotad
  • Patent number: 9718404
    Abstract: Systems, methods and apparatuses are disclosed for assessing whether a vehicle will make contact with an obstacle. The systems, methods, and apparatuses may include an obstacle sensing component configured to determine a location and a dimension of an obstacle, a vehicle sensing component configured to determine a height of a point of the vehicle relative to the ground, and a notification component configured to provide an indication of a presence of the obstacle to assist a human driver or an automated driving system in parking the vehicle without making contact with the obstacle.
    Type: Grant
    Filed: October 1, 2015
    Date of Patent: August 1, 2017
    Assignee: Ford Global Technologies, LLCS
    Inventors: Venkatapathi Raju Nallapa, Harpreetsingh Banvait, Scott Vincent Myers, Ashley Elizabeth Micks
  • Publication number: 20170213149
    Abstract: A machine learning model is trained by defining a scenario including models of vehicles and a typical driving environment. A model of a subject vehicle is added to the scenario and sensor locations are defined on the subject vehicle. A perception of the scenario by sensors at the sensor locations is simulated. The scenario further includes a model of a lane-splitting vehicle. The location of the lane-splitting vehicle and the simulated outputs of the sensors perceiving the scenario are input to a machine learning algorithm that trains a model to detect the location of a lane-splitting vehicle based on the sensor outputs. A vehicle controller then incorporates the machine learning model and estimates the presence and/or location of a lane-splitting vehicle based on actual sensor outputs input to the machine learning model.
    Type: Application
    Filed: January 26, 2016
    Publication date: July 27, 2017
    Inventors: ASHLEY ELIZABETH MICKS, JINESH J. JAIN, HARPREETSINGH BANVAIT, KYU JEONG HAN
  • Publication number: 20170210291
    Abstract: A driving assistance system includes a drive detection component, a presence component, and a notification component. The drive detection component is configured to determine that a vehicle or driver is exiting or preparing to exit a parking location. The presence component is configured to determine, from a drive history database, whether a parking barrier is present in front of or behind the parking location. The notification component is configured to provide an indication that the parking barrier is present to a human driver or an automated driving system of the vehicle.
    Type: Application
    Filed: April 6, 2017
    Publication date: July 27, 2017
    Inventors: Venkatapathi Raju Nallapa, Scott Vincent Myers, Harpreetsingh Banvait, Ashley Elizabeth Micks
  • Publication number: 20170177954
    Abstract: The disclosure relates to methods, systems, and apparatuses for virtual sensor data generation and more particularly relates to generation of virtual sensor data for training and testing models or algorithms to detect objects or obstacles, such as wheel stops or parking barriers. A method for generating virtual sensor data includes simulating a three-dimensional (3D) environment comprising one or more objects. The method includes generating virtual sensor data for a plurality of positions of one or more sensors within the 3D environment. The method includes determining virtual ground truth corresponding to each of the plurality of positions, wherein the ground truth includes information about at least one object within the virtual sensor data. The method also includes storing and associating the virtual sensor data and the virtual ground truth.
    Type: Application
    Filed: December 18, 2015
    Publication date: June 22, 2017
    Applicant: Ford Global Technologies, LLC
    Inventors: Ashley Elizabeth Micks, Venkatapathi Raju Nallapa, Harpreetsingh Banvait, Scott Vincent Myers
  • Publication number: 20170174261
    Abstract: Systems, methods, and devices for detecting a vehicle's turn signal status for collision avoidance during lane-switching maneuvers or otherwise. A method includes detecting, at a first vehicle, a presence of a second vehicle in an adjacent lane. The method includes identifying, in an image of the second vehicle, a sub-portion containing a turn signal indicator of the second vehicle. The method includes processing the sub-portion of the image to determine a state of the turn signal indicator. The method also includes notifying a driver or performing a driving maneuver, at the first vehicle, based on the state of the turn signal indicator.
    Type: Application
    Filed: December 17, 2015
    Publication date: June 22, 2017
    Inventors: Ashley Elizabeth Micks, Harpreetsingh Banvait, Jinesh J Jain, Brielle Reiff, Sneha Kadetotad
  • Patent number: 9676326
    Abstract: A driving assistance system includes a drive detection component, a presence component, and a notification component. The drive detection component is configured to determine that a vehicle or driver is exiting or preparing to exit a parking location. The presence component is configured to determine, from a drive history database, whether a parking barrier is present in front of or behind the parking location. The notification component is configured to provide an indication that the parking barrier is present to a human driver or an automated driving system of the vehicle.
    Type: Grant
    Filed: September 25, 2015
    Date of Patent: June 13, 2017
    Assignee: Ford Global Technologies, LLC
    Inventors: Venkatapathi Raju Nallapa, Harpreetsingh Banvait, Scott Vincent Myers, Ashley Elizabeth Micks
  • Publication number: 20170131719
    Abstract: Systems, methods, and devices for predicting a driver's intention and future movements of a proximal vehicle, whether an automated vehicle or a human driven vehicle, are disclosed herein. A system for predicting future movements of a vehicle includes an intersection component, a camera system, a boundary component, and a prediction component. The intersection component is configured to determine that a parent vehicle is near an intersection. The camera system is configured to capture an image of the proximal vehicle. The boundary component is configured to identify a sub-portion of the image containing a turn signal indicator on the proximal vehicle. The prediction component is configured to predict future movement of the proximal vehicle through the intersection based on a state of the turn signal indicator.
    Type: Application
    Filed: November 5, 2015
    Publication date: May 11, 2017
    Inventors: Ashley Elizabeth Micks, Harpreetsingh Banvait, Jinesh J. Jain, Brielle Reiff
  • Publication number: 20170124407
    Abstract: Systems, methods, and devices for predicting driver intent and future movements of a human driven vehicles are disclosed herein. A system for predicting future movements of a vehicle includes a camera system, a boundary component, a body language component, and a prediction component. The camera system is configured to capture an image of a vehicle. The boundary component is configured to identify a sub-portion of the image corresponding to an area where a driver of a vehicle is located. The body language component configured to detect a driver's body language. The prediction component configured to predict future motion of the vehicle based on the driver's body language detected by the body language component.
    Type: Application
    Filed: November 4, 2015
    Publication date: May 4, 2017
    Inventors: Ashley Elizabeth Micks, Harpreetsingh Banvait, Jinesh J. Jain, Brielle Reiff
  • Publication number: 20170113684
    Abstract: A controller for an autonomous vehicle receives audio signals from one or more microphones. The outputs of the microphones are pre-processed to enhance audio features that originated from vehicles. The outputs may also be processed to remove noise. The audio features are input to a machine learning model that classifies the source of the audio features. For example, features may be classified as originating from a vehicle. A direction to a source of the audio features is determined based on relative delays of the audio features in signals from multiple microphones. Where audio features are classified with an above-threshold confidence as originating from a vehicle, collision avoidance is performed with respect to the direction to the source of the audio features.
    Type: Application
    Filed: October 27, 2015
    Publication date: April 27, 2017
    Inventors: Harpreetsingh Banvait, Kyu Jeong Han, Jinesh J. Jain