In-Vehicle Data Priority Tables for Real-Time Driving Control
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Solution Overview
Problem
In-vehicle electronic control systems face challenges in prioritizing and managing data effectively, particularly in developed driving support and automatic driving scenarios, where data types like relative distance and position require dynamic prioritization based on driving conditions, such as high-speed or low-speed regions, which existing methods struggle to address.
Innovation Solution
The system employs a data management apparatus with a table generation unit that creates tables based on user-set conditions, including relative distance, speed, and object types, and a data recognition unit that identifies and prioritizes data storage and retrieval based on driving modes, scenes, and sensor data sensitivity, using a ring buffer structure to efficiently manage and retrieve data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is transferred with predetermined priorities determined by data type, then data transmission efficiency is improved, but the system cannot adapt to dynamic driving conditions requiring different prioritization
Solution Approach 1:
The patent implements dynamic priority determination by having the priority determination unit set priorities based on current driving conditions (high-speed/low-speed regions) rather than using fixed predetermined priorities. This allows the system to adapt data transfer priorities in real-time according to the driving scene, resolving the contradiction between transmission efficiency and adaptability.
2Reliability
If all target data is transferred to ensure completeness, then data accuracy is improved, but processing time exceeds the designated time limit
Solution Approach 1:
The patent applies partial action by transferring only the necessary amount of data required for the current driving scene rather than all target data. The priority determination unit identifies critical data based on driving conditions and transfers only that data within the designated processing time, ensuring timely response without unnecessary data transfer overhead.
3Ease of manufacture
If data prioritization is based on predetermined types, then implementation simplicity is improved, but the system cannot handle scene-specific requirements like relative distance and position
Solution Approach 1:
The patent changes the parameter basis for prioritization from fixed data types to dynamic driving condition parameters (high-speed/low-speed regions, relative distance, relative position). The priority determination unit adjusts priorities based on these varying parameters, enabling the system to handle scene-specific requirements while maintaining a relatively simple implementation structure.
Data Source
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AI summary
The purpose of the present invention is to provide an in-vehicle database which enables frequently updated real-time information to be read at high speed from a plurality of sets of input information, and an in-vehicle control apparatus having the in-vehicle database. The in-vehicle electronic control apparatus comprises: a data collection unit which acquires a plurality of pieces of data; a data storage unit which stores the plurality of pieces of data; and a table generation unit which generates a table having storage place identification information for identifying a storage place for the piece of data matching a predetermined data condition among the pieces of data stored in the data storage unit.