Autonomous Driving Data Storage Switching Under Capacity Limits
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Solution Overview
Problem
The limited capacity of on-board storage in autonomous vehicles poses a challenge for storing autonomous driving data, making it difficult to store all necessary data for verification without overflowing the storage area.
Innovation Solution
The vehicle switches between an all-storage mode and a partial-storage mode based on available storage capacity, with the all-storage mode storing all data when capacity is sufficient and the partial-storage mode storing only essential data for reproducing autonomous driving scenarios when capacity is limited.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all autonomous driving data is stored in the on-board storage, then the completeness of verification data is improved, but the storage capacity is exceeded causing overflow
Solution Approach 1:
The patent segments autonomous driving data into multiple categories based on verification importance: essential data (required for reproduction), important data (useful for analysis), and other data (less critical). This segmentation allows the system to prioritize storage of essential verification data while managing limited storage capacity effectively.
Solution Approach 2:
The patent applies local quality by assigning different storage priorities to different portions of data. Essential data marked with priority level 1 is guaranteed storage space, while other data with lower priorities may be selectively stored or deleted based on available capacity, ensuring critical verification functions are maintained.
2Loss of information
If the storage area is expanded to store all data, then the data retention capability is improved, but the device complexity and cost increase
Solution Approach 1:
The patent implements a dynamic storage management system that automatically adjusts data retention based on available storage capacity. The management unit monitors storage usage and dynamically deletes or prioritizes data according to predefined policies, eliminating the need for static large-capacity storage expansion.
Solution Approach 2:
The system changes the parameter of data priority levels assigned to different data types. By adjusting priority parameters and using threshold-based deletion policies, the system optimizes storage utilization without requiring physical expansion of storage capacity.
3Quantity of substance
If data deletion is performed to manage storage space, then the storage overflow problem is resolved, but the verification accuracy may be reduced
Solution Approach 1:
The patent performs preliminary classification and marking of data with priority levels before storage. Essential data is pre-identified and marked with highest priority, ensuring it is protected from deletion. This preliminary action ensures verification accuracy is maintained even when storage space is limited.
Solution Approach 2:
The system creates a prioritized representation of data importance through metadata tags and priority levels. This copying of priority information allows the storage management unit to make deletion decisions based on copied priority data rather than deleting arbitrary data, preserving verification accuracy.
Data Source
AI summary
The vehicle of the present disclosure stores autonomous driving data generated during execution of autonomous driving and switch a storage mode according to an available capacity of a storage area for storing the autonomous driving data. The storage mode includes an all-storage mode and a partial-storage mode. The all-storage mode is a mode that is selected when the available capacity of the storage area is equal to or larger than a threshold value, and is a mode for storing all of the autonomous driving data. The partial-storage mode is a mode that is selected when the available capacity of the storage area is less than the threshold value, and is a mode for storing only a part of the autonomous driving data. The part of the autonomous driving data stored in the partial-storage mode includes data for reproducing autonomous driving.