Patents by Inventor Kapilan BASKAR

Kapilan BASKAR 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).

  • Identification, classification, and use of accident-prone zones for improved driving and navigation
    Patent number: 11674814
    Abstract: A device can obtain historical accident data identifying accidents within a geographic region. The device can classify geographic areas within the geographic region as being sparse accident-prone zones (APZs) or dense APZs by processing the historical accident data using a clustering technique and clustering parameters. The device can generate data identifying geographic boundaries of the sparse APZs and the dense APZs. The device can provide the data identifying the geographic boundaries to be stored using a data structure. The device can receive telematics data associated with a vehicle within the geographic region. The device can determine whether the vehicle is in or approaching a particular APZ based on whether a location of the vehicle is within the particular APZ or based on whether the vehicle is likely to enter the particular APZ. The device can provide an alert to the vehicle or a user device associated with the vehicle.
    Type: Grant
    Filed: March 9, 2021
    Date of Patent: June 13, 2023
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Anil Nakirikanti, Thomas George Ancheriyil, Anjjan Sathia Narayan, Lakshmi N. Chakarapani, Kapilan Baskar, Chaewon L. Min
  • IDENTIFICATION, CLASSIFICATION, AND USE OF ACCIDENT-PRONE ZONES FOR IMPROVED DRIVING AND NAVIGATION
    Publication number: 20210190520
    Abstract: A device can obtain historical accident data identifying accidents within a geographic region. The device can classify geographic areas within the geographic region as being sparse accident-prone zones (APZs) or dense APZs by processing the historical accident data using a clustering technique and clustering parameters. The device can generate data identifying geographic boundaries of the sparse APZs and the dense APZs. The device can provide the data identifying the geographic boundaries to be stored using a data structure. The device can receive telematics data associated with a vehicle within the geographic region. The device can determine whether the vehicle is in or approaching a particular APZ based on whether a location of the vehicle is within the particular APZ or based on whether the vehicle is likely to enter the particular APZ. The device can provide an alert to the vehicle or a user device associated with the vehicle.
    Type: Application
    Filed: March 9, 2021
    Publication date: June 24, 2021
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Anil NAKIRIKANTI, Thomas George ANCHERIYIL, Anjjan Sathia NARAYAN, Lakshmi N. CHAKARAPANI, Kapilan BASKAR, Chaewon L. MIN
  • Identification, classification, and use of accident-prone zones for improved driving and navigation
    Patent number: 10955254
    Abstract: A device can obtain historical accident data identifying accidents within a geographic region. The device can classify geographic areas within the geographic region as being sparse accident-prone zones (APZs) or dense APZs by processing the historical accident data using a clustering technique and clustering parameters. The device can generate data identifying geographic boundaries of the sparse APZs and the dense APZs. The device can provide the data identifying the geographic boundaries to be stored using a data structure. The device can receive telematics data associated with a vehicle within the geographic region. The device can determine whether the vehicle is in or approaching a particular APZ based on whether a location of the vehicle is within the particular APZ or based on whether the vehicle is likely to enter the particular APZ. The device can provide an alert to the vehicle or a user device associated with the vehicle.
    Type: Grant
    Filed: September 13, 2018
    Date of Patent: March 23, 2021
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Anil Nakirikanti, Thomas George Ancheriyil, Anjjan Sathia Narayan, Lakshmi N. Chakarapani, Kapilan Baskar, Chaewon L. Min
  • IDENTIFICATION, CLASSIFICATION, AND USE OF ACCIDENT-PRONE ZONES FOR IMPROVED DRIVING AND NAVIGATION
    Publication number: 20200088534
    Abstract: A device can obtain historical accident data identifying accidents within a geographic region. The device can classify geographic areas within the geographic region as being sparse accident-prone zones (APZs) or dense APZs by processing the historical accident data using a clustering technique and clustering parameters. The device can generate data identifying geographic boundaries of the sparse APZs and the dense APZs. The device can provide the data identifying the geographic boundaries to be stored using a data structure. The device can receive telematics data associated with a vehicle within the geographic region. The device can determine whether the vehicle is in or approaching a particular APZ based on whether a location of the vehicle is within the particular APZ or based on whether the vehicle is likely to enter the particular APZ. The device can provide an alert to the vehicle or a user device associated with the vehicle.
    Type: Application
    Filed: September 13, 2018
    Publication date: March 19, 2020
    Inventors: Anil NAKIRIKANTI, Thomas George ANCHERIYIL, Anjjan Sathia NARAYAN, Lakshmi N. CHAKARAPANI, Kapilan BASKAR, Chaewon L. MIN