18448860. SYSTEMS AND METHODS FOR EVALUATING AND SHARING HUMAN DRIVING STYLE INFORMATION WITH PROXIMATE VEHICLES simplified abstract (Micron Technology, Inc.)

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SYSTEMS AND METHODS FOR EVALUATING AND SHARING HUMAN DRIVING STYLE INFORMATION WITH PROXIMATE VEHICLES

Organization Name

Micron Technology, Inc.

Inventor(s)

Robert Richard Noel Bielby of Placerville CA (US)

SYSTEMS AND METHODS FOR EVALUATING AND SHARING HUMAN DRIVING STYLE INFORMATION WITH PROXIMATE VEHICLES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18448860 titled 'SYSTEMS AND METHODS FOR EVALUATING AND SHARING HUMAN DRIVING STYLE INFORMATION WITH PROXIMATE VEHICLES

Simplified Explanation

The patent application describes systems and methods for analyzing and characterizing the driving style of a human driver. Here are the key points:

  • The system includes sensors that collect information about driving characteristics while a human operates a vehicle.
  • The collected data is evaluated using computer instructions stored in memory to identify patterns that correlate with the driver's style.
  • The processor reads the instructions, analyzes the driving characteristics, and characterizes aspects of the driver's style based on the identified patterns.
  • The patent also covers corresponding methods and non-transitory media for implementing this technology.

Potential applications of this technology:

  • Driver monitoring systems in vehicles to provide feedback and coaching to improve driving skills.
  • Insurance companies could use the data to assess risk and determine insurance premiums.
  • Fleet management companies could use the technology to monitor and optimize driver performance.

Problems solved by this technology:

  • Provides a quantitative and objective way to analyze and characterize a driver's style, which can be useful for various applications.
  • Allows for personalized feedback and coaching to improve driving skills and safety.
  • Enables better risk assessment and pricing for insurance companies.

Benefits of this technology:

  • Improved safety on the roads by identifying and addressing risky driving behaviors.
  • Potential cost savings for insurance companies and fleet management companies through better risk assessment and optimization.
  • Enhanced driving experience for individuals through personalized feedback and coaching.


Original Abstract Submitted

Systems and methods for characterizing a driving style of a human driver are presented. A system may include one or more sensors configured to collect information concerning driving characteristics associated with operation of a vehicle by a human; a memory containing computer-readable instructions for evaluating the information concerning driving characteristics collected by the one or more sensors for one or more patterns correlatable with a driving style of the human and for characterizing aspects of the driving style of the human based on the one or more patterns; and a processor configured to read the computer-readable instructions from the memory, evaluate the driving characteristics collected by the one or more sensors for one or more patterns correlatable with a driving style of the human, and characterize aspects of the driving style of the human based on the one or more patterns. Corresponding methods and non-transitory media are disclosed.

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