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).

  • Patent number: 10800455
    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: Grant
    Filed: December 17, 2015
    Date of Patent: October 13, 2020
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Ashley Elizabeth Micks, Harpreetsingh Banvait, Jinesh J Jain, Brielle Reiff, Sneha Kadetotad
  • Patent number: 10635912
    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: Grant
    Filed: June 19, 2017
    Date of Patent: April 28, 2020
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Ashley Elizabeth Micks, Venkatapathi Raju Nallapa, Harpreetsingh Banvait, Scott Vincent Myers
  • Patent number: 10521677
    Abstract: A method for generating training data is disclosed. The method may include executing a simulation process. The simulation process may include traversing a virtual camera through a virtual driving environment comprising at least one virtual precipitation condition and at least one virtual no precipitation condition. During the traversing, the virtual camera may be moved with respect to the virtual driving environment as dictated by a vehicle-motion model modeling motion of a vehicle driving through the virtual driving environment while carrying the virtual camera. Virtual sensor data characterizing the virtual driving environment in both virtual precipitation and virtual no precipitation conditions may be recorded. The virtual sensor data may correspond to what a real sensor would have output had it sensed the virtual driving environment in the real world.
    Type: Grant
    Filed: July 14, 2016
    Date of Patent: December 31, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Ashley Elizabeth Micks, Harpreetsingh Banvait, Jinesh J Jain, Vidya Nariyambut Murali
  • Publication number: 20190362168
    Abstract: Systems, methods, and devices for predicting driver intent and future movements of a human driven vehicles are disclosed herein. A computer implemented method includes receiving an image of a proximal vehicle in a region near a vehicle. The method includes determining a region of the image that contains a driver of the proximal vehicle, wherein determining the region comprises determining based on a location of one or more windows of the proximal vehicle. The method includes processing image data only in the region of the image that contains the driver of the proximal vehicle to detect a driver's body language.
    Type: Application
    Filed: August 12, 2019
    Publication date: November 28, 2019
    Inventors: Ashley Elizabeth Micks, Harpreetsingh Banvait, Jinesh J. Jain, Brielle Reiff
  • Patent number: 10481609
    Abstract: A system and method for assisted or autonomous parking of a vehicle is disclosed. The method may begin when the vehicle approaches a feeder lane within a parking lot. At that point, a computer system may decide whether the vehicle should enter the feeder lane. The computer system may use at least one of machine learning, computer vision, and range measurements to determining whether a condition precedent for entering the feeder lane exists. The condition precedent may include an in-bound arrow on the feeder lane or parking lines and/or a parked vehicle adjacent the feeder lane defining a departure angle less than or equal to ninety degrees. If the condition precedent exists, the vehicle may enter the feeder lane. If the condition precedent does not exist, the vehicle may move on to another feeder lane.
    Type: Grant
    Filed: December 9, 2016
    Date of Patent: November 19, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Maryam Moosaei, Jinesh J Jain, Harpreetsingh Banvait
  • Patent number: 10474964
    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: Grant
    Filed: January 26, 2016
    Date of Patent: November 12, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Ashley Elizabeth Micks, Jinesh J Jain, Harpreetsingh Banvait, Kyu Jeong Han
  • Patent number: 10467285
    Abstract: A method of recommending radio stations including the step of generating a plurality of driver models. Each driver model may correspond to a different driver and documents audio content listened to by that driver while driving. The plurality of driver models may be aggregated to generate a recommendation model correlating radio stations, audio content, and geographic regions. Thereafter, a request for recommendations may be received from a driver while the driver is in a familiar or unfamiliar geographic region. A driver model corresponding to the driver may be compared against other data contained within the recommendation model in order to identify one or more radio stations that present audio content within the geographic region that best matches the audio content documented within the driver model corresponding to the driver. The one or more radio stations may then be communicated to the driver.
    Type: Grant
    Filed: August 21, 2015
    Date of Patent: November 5, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Harpreetsingh Banvait, Casey Bryan Feldman, Jinesh J. Jain
  • Publication number: 20190329767
    Abstract: Techniques pertaining to vehicle occupancy indication and utilization thereof are described. A method may involve determining occupancy information regarding a number of occupants in a vehicle. The method may also involve indicating the occupancy information in either or both of a human-perceivable way and a machine-perceivable way.
    Type: Application
    Filed: July 9, 2019
    Publication date: October 31, 2019
    Inventors: Nikhil Nagraj Rao, Scott Vincent Myers, Lisa Scaria, Harpreetsingh Banvait
  • Patent number: 10452072
    Abstract: Techniques and examples pertaining to vehicle water wading safety are described. A processor implementable to a vehicle approaching a waterbody may receive data related to the waterbody from one or more above-water or under-water sensors. The processor may determine a top surface and a bottom profile of the waterbody, and calculate one or more critical trajectories of water-sensitive components of the vehicle if the vehicle is to wade through the waterbody by traversing the bottom profile. The processor may then determine the wading safety based on the critical trajectories and the top surface of the waterbody. The processor may further determine a wading route, and autonomously drive the vehicle to wade the waterbody via the optimal wading route.
    Type: Grant
    Filed: May 25, 2017
    Date of Patent: October 22, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Scott Vincent Myers, Harpreetsingh Banvait, Joshua Scott Smith
  • Patent number: 10423847
    Abstract: Systems, methods, and devices for predicting driver intent and future movements of a human driven vehicles are disclosed herein. A computer implemented method includes receiving an image of a proximal vehicle in a region near a vehicle. The method includes determining a region of the image that contains a driver of the proximal vehicle, wherein determining the region comprises determining based on a location of one or more windows of the proximal vehicle. The method includes processing image data only in the region of the image that contains the driver of the proximal vehicle to detect a driver's body language.
    Type: Grant
    Filed: September 25, 2017
    Date of Patent: September 24, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Ashley Elizabeth Micks, Harpreetsingh Banvait, Jinesh J Jain, Brielle Reiff
  • Patent number: 10408937
    Abstract: Example metal bridge detection systems and methods are described. In one implementation, a method receives LIDAR data from a LIDAR system mounted to a vehicle and receives camera data from a camera system mounted to the vehicle. The method analyzes the received LIDAR data and the camera data to identify a metal bridge proximate the vehicle. If a metal bridge is identified, the method adjusts vehicle operations to improve vehicle control as it drives across the metal bridge.
    Type: Grant
    Filed: September 20, 2016
    Date of Patent: September 10, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Scott Vincent Myers, Ashley Elizabeth Micks, Sneha Kadetotad, Harpreetsingh Banvait
  • Patent number: 10403140
    Abstract: In response to detecting a traffic event such as a motorcycle lane splitting or an accident, a vehicle broadcasts a notification over a V2V communication channel. Traffic events may be detected using sensor systems of the vehicle or in response to messages reporting the event. Notifications may be received from the vehicle over a cellular communication channel. Roadside infrastructure, such as DSRC or cellular communication installations receive the notification and may rebroadcast it to adjacent vehicles. A DSRC installation may broadcast the message by way of a cellular communication installation and vice versa. The vehicle may provide a cellular notification by way of a driver's mobile device connected to a controller of the vehicle.
    Type: Grant
    Filed: March 21, 2016
    Date of Patent: September 3, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Harpreetsingh Banvait, Jinesh J. Jain, Surjya Sarathi Ray
  • Publication number: 20190266715
    Abstract: The present invention extends to methods, systems, and computer program products for using Unmanned Aerial Vehicles (UAVs) to inspect autonomous vehicles. An autonomous vehicle carries a UAV (or “drone”) in a protected area, for example, in a glove compartment, trunk, etc. Between rides, the UAV can be deployed to inspect the autonomous vehicle. Images from the UAV can be sent to other components for image analysis. When an inspection is completed, the UAV can return to the protected area. The UAV can inspect both the interior and exterior of an autonomous vehicle. When an inspection is passed, the autonomous vehicle can begin a new ride. When an inspection is failed, the autonomous vehicle can report for repairs or summon a tow vehicle.
    Type: Application
    Filed: October 24, 2016
    Publication date: August 29, 2019
    Inventors: Scott Vincent MYERS, Mark CRAWFORD, Harpreetsingh BANVAIT, Alexandru Mihai GURGHIAN, Nikhil NAGRAJ RAO, Alexandro WALSH, Lisa SCARIA
  • Patent number: 10392011
    Abstract: Techniques pertaining to vehicle occupancy indication and utilization thereof are described. A method may involve determining occupancy information regarding a number of occupants in a vehicle. The method may also involve indicating the occupancy information in either or both of a human-perceivable way and a machine-perceivable way.
    Type: Grant
    Filed: January 20, 2017
    Date of Patent: August 27, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Nikhil Nagraj Rao, Scott Vincent Myers, Lisa Scaria, Harpreetsingh Banvait
  • Patent number: 10372996
    Abstract: A vehicle controller receives images from a camera upon arrival and upon departure. A location of the vehicle may be tracked and images captured by the camera may be tagged with a location. A departure image may be compared to an arrival image captured closest to the same location as the arrival image. A residual image based on a difference between the arrival and departure images is evaluated for anomalies. Attributes of the anomaly such as texture, color, and the like are determined and the anomaly is classified based on the attributes. If the classification indicates an automotive fluid, then an alert is generated.
    Type: Grant
    Filed: December 15, 2016
    Date of Patent: August 6, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Jinesh J Jain, Harpreetsingh Banvait, Bruno Sielly Jales Costa, Ashley Elizabeth Micks
  • Patent number: 10372128
    Abstract: Example sinkhole detection systems and methods are described. In one implementation, a method receives data from multiple sensors mounted to a vehicle and analyzes the received data to identify a sinkhole in a roadway ahead of the vehicle. If a sinkhole is identified, the method adjusts vehicle operations and reports the sinkhole to a shared database and/or another vehicle.
    Type: Grant
    Filed: November 21, 2016
    Date of Patent: August 6, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Scott Vincent Myers, Ashley Elizabeth Micks, Alexandru Mihai Gurghian, Harpreetsingh Banvait, Parsa Mahmoudieh
  • Publication number: 20190220819
    Abstract: A method for package delivery includes identifying a plurality of delivery locations for package delivery. The method includes determining a driving route for an automated ground vehicle to optimize delivery to the delivery locations using one or more automated aerial vehicles. The method includes controlling the automated ground vehicle to navigate the delivery route. The method further includes determining timing for release of the one or more automated aerial vehicles during navigation of the delivery route to deliver packages to the plurality of delivery locations.
    Type: Application
    Filed: June 6, 2016
    Publication date: July 18, 2019
    Applicant: Ford Global Technologies, LLC
    Inventors: Harpreetsingh BANVAIT, Scott Vincent MYERS, Alexandru Mihai GURGHIAN, Mohamed AHMAD
  • Publication number: 20190197901
    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: March 5, 2019
    Publication date: June 27, 2019
    Inventors: Harpreetsingh Banvait, Scott Vincent Myers, Ashley Elizabeth Micks, Sneha Kadetotad
  • Patent number: 10304335
    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: Grant
    Filed: April 12, 2016
    Date of Patent: May 28, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Jinesh J Jain, Sneha Kadetotad, Harpreetsingh Banvait, Vidya Nariyambut Murali, Peter Gyumyeong Joh
  • Patent number: 10296816
    Abstract: A vehicle controller receives images from a camera upon arrival and upon departure. A location of the vehicle may be tracked and images captured by the camera may be tagged with a location. A departure image may be compared to an arrival image captured closest to the same location as the arrival image. A residual image based on a difference between the arrival and departure images is evaluated for anomalies. Attributes of the anomaly such as texture, color, and the like are determined and the anomaly is classified based on the attributes. If the classification indicates an automotive fluid, then an alert is generated. A machine learning algorithm for generating classifications from image data may be trained using arrival and departure images obtained by rendering of a three-dimensional model or by adding simulated fluid leaks to two-dimensional images.
    Type: Grant
    Filed: January 11, 2017
    Date of Patent: May 21, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Ashley Elizabeth Micks, Jinesh J Jain, Harpreetsingh Banvait, Bruno Sielly Jales Costa