Driving Load Estimation Using Steering Entropy Correction

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Solution Overview

Problem

Existing driving load estimation methods uniformly score driving actions based on the environment, failing to account for individual differences among drivers, which limits their effectiveness in adjusting display information accordingly.

Innovation Solution

A driving load estimation apparatus that includes a first VACP calculator, a steering entropy calculator, and a correction value calculator to estimate driving load by calculating a VACP correction value based on steering entropy, allowing for individualized load estimation and appropriate display control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If VACP method is applied uniformly to all drivers based on driving environment information, then the estimation process is simple and fast, but it fails to account for individual differences in driving load among drivers

Engineering Contradiction:
Improveestimation speedVSAvoidindividual driving load estimation accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent segments the driving load estimation into two distinct components: a common VACP value derived from driving environment information that applies to all drivers, and an individual correction value derived from steering entropy that accounts for personal differences. This segmentation allows the system to maintain computational efficiency while improving individualization accuracy.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces steering entropy as an additional parameter to modify the traditional VACP value. By calculating the correction value based on steering entropy and applying it to the base VACP value, the system transforms a uniform estimation approach into an individualized one without completely redesigning the estimation framework.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If individualized driving load estimation is implemented using steering entropy correction, then accuracy for individual drivers improves, but the calculation complexity increases

Engineering Contradiction:
Improveindividual driving load estimation accuracyVSAvoidcalculation system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent uses steering entropy as an intermediary parameter that bridges the gap between simple environmental VACP estimation and complex individualized assessment. The steering entropy serves as a measurable indicator of individual driving behavior that can be calculated from steering angle data and used to derive correction values, simplifying the overall individualization process.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system utilizes the driver's own steering operations to generate the correction value needed for their individualized estimation. By analyzing the driver's natural steering behavior through entropy calculation, the system enables each driver to self-characterize their driving load without requiring external calibration or complex individual profiling.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11458977B2Driving load estimation apparatus
Publication Date: 2022.10.04 CALSONIC KANSEI CORP
  • US11458977B2 patent drawing
  • US11458977B2 patent drawing
  • US11458977B2 patent drawing

AI summary

A driving load estimation apparatus can estimate the driving load of individual drivers in accordance with the driving environment. The driving load estimation apparatus can include a first VACP calculator configured to calculate a first VACP value based on information related to a driving environment of a vehicle and a correction value calculator configured to calculate a VACP correction value of each driver based on a steering operation in the driving environment. The driving load estimation apparatus estimates a driving load of the driver by correcting the first VACP value based on the VACP correction value.