Driving Diagnostic Map Updates for Vehicle Characteristic Changes
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Solution Overview
Problem
Existing driving diagnostic map creation systems fail to account for changes in vehicle characteristics, leading to potential inaccuracies in driving diagnosis, especially after events like collisions.
Innovation Solution
A driving diagnostic map creation device that includes a map creation unit for generating diagnostic maps based on vehicle information and a map management unit that discards maps when significant changes in vehicle characteristics occur, ensuring accurate diagnosis by switching to a pending map once it meets a learning completion requirement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the driving diagnostic map is continuously used without considering vehicle characteristic changes, then the device complexity is reduced, but the measurement precision of driving diagnosis deteriorates
Solution Approach 1:
The patent implements dynamic map management where the driving diagnostic map is automatically updated or discarded based on detected changes in vehicle characteristics. The system transitions from a static map usage approach to a dynamic one that adapts to vehicle condition changes, ensuring diagnosis accuracy without requiring complex manual intervention.
Solution Approach 2:
The patent employs feedback mechanisms by continuously monitoring vehicle characteristic parameters and using this information to determine whether the current driving diagnostic map remains valid. When characteristic changes exceed predetermined thresholds, the system triggers map discarding or update operations, creating a closed-loop control system that maintains diagnosis precision.
2Measurement precision
If the driving diagnostic map is discarded frequently to ensure accuracy after vehicle changes, then the measurement precision is improved, but the loss of time increases
Solution Approach 1:
The patent performs preliminary assessments by continuously monitoring vehicle characteristic parameters before complete map discarding is necessary. By detecting gradual characteristic changes and predicting when they will exceed thresholds, the system can prepare for map updates in advance, reducing actual downtime when map changes are executed.
Solution Approach 2:
The patent changes the monitoring approach from binary (map valid/invalid) to continuous parameter-based assessment. By tracking vehicle characteristic parameters over time and comparing them against threshold values, the system determines map validity dynamically, allowing for smoother transitions and reduced time loss compared to frequent complete map discards.
3Reliability
If the driving diagnostic map is updated to reflect vehicle characteristic changes, then the reliability is improved, but the device complexity increases
Solution Approach 1:
The patent implements self-service functionality where the system automatically monitors vehicle characteristics, determines when maps need updating, and executes map discarding or updates without external intervention. This automation maintains high reliability while minimizing the operational complexity burden on users or external systems.
Solution Approach 2:
The patent employs a structured map lifecycle management approach where outdated maps are systematically discarded and new maps are generated or activated based on detected vehicle characteristic changes. This organized approach to map replacement improves reliability by ensuring current maps match vehicle conditions while managing complexity through standardized procedures.
Data Source
AI summary
A map creation unit that creates a driving diagnostic map used by the driving diagnostic unit for driving diagnosis of the vehicle based on a detection value of vehicle information acquired by a sensor provided in the vehicle, and a map management unit that discards the driving diagnostic map when a discarding condition is satisfied with respect to the driving diagnostic map and the latest detection value created by the map creation unit based on the detection value acquired before the latest detection value which is the latest detection value.