Patents by Inventor Dharm Sidhu

Dharm Sidhu 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).

  • Methods and systems for determining impaired driving
    Patent number: 12780230
    Abstract: Methods and systems for determining impaired driving is provided. The methods include acquiring controller area network (CAN) data and location data of a vehicle, comparing the CAN data to a reference data associated with driving behavior of a driver of the vehicle, determining the driver is impaired driving in response to determining that a level of deviation of the CAN data from the reference data is greater than a threshold value, changing the threshold value in response to determining that the location data indicates the vehicle is located in an area associated with a place offering access to alcohol, and controlling operations of the vehicle in response to determining that the driver is impaired driving.
    Type: Grant
    Filed: April 10, 2024
    Date of Patent: November 3, 2026
    Assignees: Toyota Motor North America, Inc., Toyota Jidosha Kabushiki Kaisha
    Inventors: Lokesh Kumar Viswavarapu, Raja Shekar Kilaru, Mehmet Cil, Varun Prasad, Masahiro Muramatsu, Naohiro Matsumura, Sergei I. Gage, Pujitha Gunaratne, Jennifer Lerman, Michael R. Kushnerik, Schuyler J. St. Lawrence, Swathi Manoravi, Aarthi Ranganathan, Dharm Sidhu, Sangeeta Gupta, Joseph Cook, Chandan Mazumdar, Pankaj Devgun, Jaya Kumari, Andrew R. Gordon
  • METHODS AND SYSTEMS FOR DETERMINING IMPAIRED DRIVING
    Publication number: 20250319893
    Abstract: Methods and systems for determining impaired driving is provided. The methods include acquiring controller area network (CAN) data and location data of a vehicle, comparing the CAN data to a reference data associated with driving behavior of a driver of the vehicle, determining the driver is impaired driving in response to determining that a level of deviation of the CAN data from the reference data is greater than a threshold value, changing the threshold value in response to determining that the location data indicates the vehicle is located in an area associated with a place offering access to alcohol, and controlling operations of the vehicle in response to determining that the driver is impaired driving.
    Type: Application
    Filed: April 10, 2024
    Publication date: October 16, 2025
    Applicants: Toyota Motor North America, Inc., Toyota Jidosha Kabushiki Kaisha
    Inventors: Lokesh Kumar Viswavarapu, Raja Shekar Kilaru, Mehmet Cil, Varun Prasad, Masahiro Muramatsu, Naohiro Matsumura, Sergei I. Gage, Pujitha Gunaratne, Jennifer Lerman, Michael R. Kushnerik, Schuyler J. St. Lawrence, Swathi Manoravi, Aarthi Ranganathan, Dharm Sidhu, Sangeeta Gupta, Joseph Cook, Chandan Mazumdar, Pankaj Devgun, Jaya Kumari, Andrew R. Gordon
  • VEHICLE OCCUPANT INTOXICATION DETECTION SYSTEMS AND METHODS
    Publication number: 20250115122
    Abstract: Systems and methods related to intoxication detection of one or more vehicle occupants are provided. A system includes a plurality of sensor assemblies disposed at different locations within a vehicle. The system further includes a controller configured to determine which occupant among a plurality of occupants in the vehicle is intoxicated based on an analysis of sensor signals received from the plurality of sensor assemblies. The controller is further configured to output an alert based on determining that a driver of the vehicle is intoxicated. Associated vehicles, controllers, and methods are also provided.
    Type: Application
    Filed: October 9, 2023
    Publication date: April 10, 2025
    Applicants: TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC., TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Brian A. Mulrooney, Daniel James Walter, Gustavo Muller Nunes, Joshua D. Yaksich, Stuart Wuerthele, William Fanelli, Naohiro Matsumura, Sergei Gage, Pujitha Gunaratne, Jennifer Cohen Lerman, Mike Kushnerik, Schuyler St. Lawrence, Swathi Manoravi, Aarthi Ranganathan, Dharm Sidhu