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Data mining in a digital map database to identify unusually narrow lanes or roads and enabling precautionary actions in a vehicle

  • US 10,359,781 B2
  • Filed: 10/15/2015
  • Issued: 07/23/2019
  • Est. Priority Date: 05/30/2008
  • Status: Active Grant
First Claim
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1. A method for making an augmented version of a database that is used as a component in a vehicle system that provides a precautionary action in a vehicle when the vehicle approaches a location that is hazardous, the method comprising:

  • reviewing data contained in a first version of a database, the first version of the database comprising data representative of all road sections and geographic features proximate those road sections, for roads having a road width or lane width within a geographic region that is less than a standard width and, based thereon, identifying, prior to the vehicle system having been provided with the component comprising the augmented version of the database, those road sections located throughout the geographic region that have a road width or lane width that is less than a threshold width that is less than the standard width;

    forming the augmented version of the database by adding precautionary action data to the first version of the database in association with each road section identified as having the road width or lane width less than the threshold width to indicate locations at which the precautionary action is to be taken by the vehicle system when approaching those locations such that the vehicle system determines whether or not to take the precautionary action upon approach to the location based solely on whether precautionary action data is associated with the location in the augmented version of the database;

    determining a location being approached by the vehicle and, based thereon, accessing the augmented version of the database to determine whether the location being approached by the vehicle is associated with the precautionary action data; and

    causing the vehicle system to take the precautionary action when the location being approached is determined to be associated with the precautionary action data in the augmented version of the database.

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