Driving Assistance Database Updates for New Vehicle Experience

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Solution Overview

Problem

Existing driving assistance systems fail to provide personalized driving assistance when a driver's experience changes or when driving a new vehicle type, as they lack the ability to update databases with new experience data and rely on vehicle-specific information.

Innovation Solution

A driving assistance system that includes a driving condition database associating driver features with vehicle type, travel environment, and experience, using a database creation unit to update driving experience based on real-time data and estimate driving characteristics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a driving assistance system uses a database storing driving condition data associated with driver identifiers, then it can provide personalized driving assistance, but it cannot update the database when a driver's experience changes or when driving a new vehicle type

Engineering Contradiction:

Improveadaptability to driver experience changesVSAvoidservice suitability for individuals

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system dynamically updates the driving condition database by detecting changes in driver experience level (inexperienced to experienced) and vehicle type, and automatically adding new driving condition data to the database. This dynamic update mechanism allows the system to adapt to changing conditions while maintaining reliable personalized assistance.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements a feedback loop where driving condition data is continuously collected, stored in the database, and used to update future driving assistance. The database creation unit processes new driving condition data and updates the database accordingly, ensuring the system learns from and adapts to each driver's evolving experience.

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If the system stores driving condition data for multiple vehicle types, then it can provide assistance for different vehicles, but it cannot provide suitable assistance when information for a specific vehicle type is lacking

Engineering Contradiction:

Improvecoverage of vehicle typesVSAvoidaccuracy of driving assistance

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The system performs preliminary actions by proactively detecting when a driver operates a new vehicle type and automatically collecting and storing driving condition data for that vehicle type in advance. This preliminary data collection ensures that when the same vehicle type is driven again, accurate personalized assistance can be provided without delay.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system serves itself by automatically updating the driving condition database with new vehicle type information without requiring manual intervention. The database creation unit autonomously processes new driving condition data, extracts relevant features, and integrates them into the existing database structure, enabling the system to expand its vehicle type coverage independently.

Inventive Principle:

Principle #25Self-service

3Measurement precision

If the system associates driving operation features with vehicle type information, then it can provide vehicle-specific assistance, but it cannot update the database with new experience data

Engineering Contradiction:

Improveprecision of driving operation measurementVSAvoidability to update with new experience

Core Design Contradiction:

Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system maintains a dynamic database structure that can accommodate new vehicle types and driver experience levels. When new driving condition data is detected, the database creation unit updates the database by adding new entries with updated timestamps, ensuring the system continuously evolves while maintaining precise measurement capabilities for all vehicle types.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS12565219B2Driving assistance system, in-vehicle control device, driving assistance method and computer readable medium

Publication Date: 2026.03.03 MITSUBISHI ELECTRIC CORP

AI summary

A database creation unit (154) accumulates, in a driving condition database (160), driving condition data wherein feature amounts representing features of driving operation, travelling environment information including travelling spots and road shapes, driver information including attributes of drivers and vehicle type information of vehicles, and whether the drivers have driving experiences of the vehicles are associated with driver identifiers. A driving characteristic estimation unit (155) estimates a driving characteristic of a driver presently driving a vehicle based on the driving condition database (160). The database creation unit (154) determines whether a target driver has a driving experience of a target vehicle based on the driving condition database (160), determines whether the driving experience of the target vehicle by the target driver is changed, and when it is determined to be changed, updates the driving experience of the target vehicle by the target driver in the driving condition database (160).