Patents by Inventor Jinesh J. Jain

Jinesh J. 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).

  • Patent number: 10876345
    Abstract: Methods and apparatus pertaining to an intelligent vehicle access point opening system are provided. A method may involve detecting a presence of an object in a vicinity of a cover of an access point of a vehicle. The method may also involve receiving a command to open the cover and activating a mechanism to open the cover responsive to receiving the command. The method may further involve determining whether the object is likely to fall as the cover is being opened. The method may additionally involve pausing opening of the cover responsive to a determination that the object is likely to fall as the cover is being opened.
    Type: Grant
    Filed: July 25, 2018
    Date of Patent: December 29, 2020
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Harpreetsingh Banvait, Jinesh J Jain
  • Patent number: 10853670
    Abstract: A computing system can crop an image based on a width, height and location of a first vehicle in the image. The computing system can estimate a pose of the first vehicle based on inputting the cropped image and the width, height and location of the first vehicle into a deep neural network. The computing system can then operate a second vehicle based on the estimated pose. The computing system may train a model to identify a type and a location of a hazard according to the estimated pose, the hazard being such things as ice, mud, pothole, or other hazard. The model may be used by an autonomous vehicle to identify and avoid hazards or to provide drive assistance alerts.
    Type: Grant
    Filed: November 21, 2018
    Date of Patent: December 1, 2020
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Gautham Sholingar, Jinesh J Jain, Gintaras Vincent Puskorius, Leda Daehler
  • Publication number: 20200365140
    Abstract: An autonomous vehicle includes a microphone sensing sounds in the interior of the vehicle. The output of the interior microphone is processed according to an unsupervised machine learning model such that anomalies are indicated by the model. In response to detection of an anomaly, a remote dispatcher is notified, who may then dismiss the anomaly or transmit an instruction to the vehicle to alter its trajectory. The output of an exterior microphone and infotainment system may be removed from the output of the interior microphone prior to processing. An anomaly may be found to occur in response to detecting speaking of a keyword in the output of the interior microphone.
    Type: Application
    Filed: August 25, 2017
    Publication date: November 19, 2020
    Inventors: Bruno Sielly JALES COSTA, Hanieh DEILAMSALEHY, Marcos Pau GERARDO CASTRO, Smita Vinayak BAILUR, Jinesh J. JAIN
  • Patent number: 10817736
    Abstract: A vehicle includes one or more laterally mounted microphones and a controller programmed to detect a signature of an unoccupied position adjacent the vehicle in outputs of the microphones. The signature may be identified using a machine learning algorithm. In response to detecting an unoccupied position, the controller may invoke autonomous parking, store the location of the unoccupied position for later use, and/or report the unoccupied position to a server, which then informs other vehicles of the available parking. The unoccupied position may be verified by evaluating whether map data indicates legal parking at that location. The unoccupied position may also be confirmed with one or more other sensors, such as a camera, LIDAR, RADAR, SONAR, or other type of sensor.
    Type: Grant
    Filed: October 19, 2016
    Date of Patent: October 27, 2020
    Assignee: Ford Motor Company
    Inventors: Harpreestsingh Banvait, Ashley Elizabeth Micks, Jinesh J. Jain, Scott Vincent Myers
  • 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
  • Publication number: 20200160070
    Abstract: A computing system can crop an image based on a width, height and location of a first vehicle in the image. The computing system can estimate a pose of the first vehicle based on inputting the cropped image and the width, height and location of the first vehicle into a deep neural network. The computing system can then operate a second vehicle based on the estimated pose. The computing system may train a model to identify a type and a location of a hazard according to the estimated pose, the hazard being such things as ice, mud, pothole, or other hazard. The model may be used by an autonomous vehicle to identify and avoid hazards or to provide drive assistance alerts.
    Type: Application
    Filed: November 21, 2018
    Publication date: May 21, 2020
    Inventors: Gautham Sholingar, Jinesh J. Jain, Gintaras Vincent Puskorius, Leda Daehler
  • Patent number: 10640130
    Abstract: Methods, devices and apparatuses pertaining to aberrant driver classification and reporting are described. A method may involve receiving a message from a user of a first vehicle, the message indicating an instance of aberrant driving of a second vehicle. The method may also involve determining that the instance has occurred using one or more classifiers. The method may further involve collecting information of the second vehicle and generating a warning message based on the information.
    Type: Grant
    Filed: June 11, 2019
    Date of Patent: May 5, 2020
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Jinesh J Jain, Daniel Levine
  • Patent number: 10640131
    Abstract: Methods, devices and apparatuses pertaining to aberrant driver classification and reporting are described. A method may involve receiving a message from a user of a first vehicle, the message indicating an instance of aberrant driving of a second vehicle. The method may also involve determining that the instance has occurred using one or more classifiers. The method may further involve collecting information of the second vehicle and generating a warning message based on the information.
    Type: Grant
    Filed: June 11, 2019
    Date of Patent: May 5, 2020
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Jinesh J Jain, Daniel Levine
  • Patent number: 10586448
    Abstract: A method for mitigating hazards to access to passenger vehicles. The method includes detecting, with one or more sensors, a hazardous condition in an area proximate a vehicle. A processor may calculate a safety metric corresponding to the hazardous condition and analyze the safety metric relative to a predetermined threshold. A vehicle occupant may be automatically notified of the hazardous condition in the event the safety metric satisfies the predetermined threshold. A corresponding system is also claimed herein.
    Type: Grant
    Filed: June 5, 2018
    Date of Patent: March 10, 2020
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Gautham Sholingar, Jinesh J Jain
  • Patent number: 10521680
    Abstract: A system for detecting and identifying foliage includes a tracking component, a tracking parameters component, and a classification component. The tracking component is configured to detect and track one or more features within range data from one or more sensors. The tracking parameters component is configured to determine tracking parameters for each of the one or more features. The tracking parameters include a tracking age and one or more of a detection consistency and a position variability. The classification component is configured to classify a feature of the one or more features as corresponding to foliage based on the tracking parameters.
    Type: Grant
    Filed: November 8, 2018
    Date of Patent: December 31, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Marcos Paul Gerardo Castro, Sneha Kadetotad, Dongran Liu, Jinesh J Jain
  • 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: 20190382030
    Abstract: A controller receives sensor data during a ride and provides it to a server system. A passenger further provides feedback concerning the ride in the form of some or all of an overall rating, flagging of ride anomalies, and flagging of road anomalies. The sensor data and feedback are input to a training algorithm, such as a deep reinforcement learning algorithm, which updates an artificial intelligence (AI) model. The updated model is then propagated to controllers of one or more autonomous vehicle which then perform autonomous navigation and collision avoidance using the updated AI model.
    Type: Application
    Filed: January 24, 2017
    Publication date: December 19, 2019
    Inventors: Guy HOTSON, Maryam MOOSAEI, Vidya NARIYAMBUT MURALI, Jinesh J. JAIN
  • Publication number: 20190377343
    Abstract: A controller of an autonomous vehicle receives a travel itinerary of a passenger and an airport map. The controller then uses the airport map to arrive at a terminal corresponding to the passenger's travel itinerary. Upon arrival at the terminal the controller communicates with parked vehicles (V2V) or infrastructure to identify an unoccupied parking spot and then autonomously parks. When picking up a passenger, the controller determines whether the passenger has checked luggage and adjusts and arrival time accordingly and may account for the storage volume of the luggage. The controller may also loop a circuit at the airport where a wait time has been exceeded. In some embodiments, augmented reality may be used to help the passenger identify the vehicle.
    Type: Application
    Filed: January 10, 2017
    Publication date: December 12, 2019
    Inventors: Lindsay CHAN, Aysha HABBABA, Jinesh J. JAIN
  • Publication number: 20190378417
    Abstract: The present invention extends to methods, systems, and computer program products for formulating lane level routing plans. In general, aspects of the invention are used in motorized vehicles to guide a driver to a terminal vehicle configuration according to a lane level routing plan that balances travel time with routing plan robustness. A lane level routing plan can be based on terminal guidance conditions (e.g., exiting a highway in the correct off ramp lane), statistical patterns of lanes themselves, current vehicle state, and state of the local environment near the vehicle. Lane level routing plans can be communicated to the driver with audio, visual, and/or haptic cues. Lane level routing plans can be revised online and in (essentially) real-time in response to changing conditions in the local environment (e.g., a trailing vehicle in a neighboring lane has decided to increase speed).
    Type: Application
    Filed: August 21, 2019
    Publication date: December 12, 2019
    Inventors: Jinesh J. Jain, Daniel Levine
  • Publication number: 20190371171
    Abstract: A method for mitigating hazards to access to passenger vehicles. The method includes detecting, with one or more sensors, a hazardous condition in an area proximate a vehicle. A processor may calculate a safety metric corresponding to the hazardous condition and analyze the safety metric relative to a predetermined threshold. A vehicle occupant may be automatically notified of the hazardous condition in the event the safety metric satisfies the predetermined threshold. A corresponding system is also disclosed and claimed herein.
    Type: Application
    Filed: June 5, 2018
    Publication date: December 5, 2019
    Inventors: Gautham Sholingar, Jinesh J. Jain
  • 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: 10479378
    Abstract: Methods, devices and apparatuses pertaining to aberrant driver classification and reporting are described. A method may involve receiving a message from a user of a first vehicle, the message indicating an instance of aberrant driving of a second vehicle. The method may also involve determining that the instance has occurred using one or more classifiers. The method may further involve collecting information of the second vehicle and generating a warning message based on the information.
    Type: Grant
    Filed: June 11, 2019
    Date of Patent: November 19, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Jinesh J Jain, Daniel Levine
  • 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
  • Publication number: 20190337532
    Abstract: A method is disclosed for using an autonomous vehicle to teach a student how to drive. The method may include generating, by the autonomous vehicle during a training session, a plan for navigating a section of road. During the training session, the autonomous vehicle may receive control instructions from the student regarding how the student would like to navigate the section of road. If the autonomous vehicle determines that implementing the instructions would be safe and legal, it may implement those instructions. However, if the autonomous vehicle determines that implementing the instructions would not be safe and legal, it may execute the plan. During a training session, an autonomous vehicle may provide on a head-up display to the student certain visual feedback regarding a driving performance of the student.
    Type: Application
    Filed: January 26, 2017
    Publication date: November 7, 2019
    Inventors: Scott Vincent MYERS, Parsa MAHMOUDIEH, Jinesh J. JAIN, Connie ZENG, Maryam MOOSAEI, Mohamed AHMAD