Autonomous Driving Route Selection Under Log Storage Limits
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Solution Overview
Problem
Existing autonomous driving systems face challenges in storing and verifying log data related to autonomous driving control, as the capacity limitations of storage devices can make it difficult to ensure transparency and ease of verification.
Innovation Solution
A travel route management system that generates candidate routes based on the number of common points with past travel records, selecting routes that maximize overlap when storage capacity is limited, allowing for data complementation using past log data and minimizing new data storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all log data related to autonomous driving control is stored, then transparency and verification capability are improved, but storage capacity is exhausted
Solution Approach 1:
The patent extracts only the essential and differentiating log data from autonomous driving control, storing only what is necessary for verification rather than all possible data. This selective extraction approach maintains verification capability while reducing storage requirements.
Solution Approach 2:
The system discards redundant log data that can be inferred or recovered from existing travel records. By identifying and eliminating duplicate information, the system maintains verification transparency while optimizing storage capacity utilization.
2Productivity
If storage capacity is limited, then data management efficiency is improved, but verification completeness deteriorates
Solution Approach 1:
The patent applies local quality by storing different types of log data with different retention priorities based on their verification value. Critical verification data is preserved while less important data is discarded or compressed, optimizing storage allocation according to local importance.
Solution Approach 2:
The system changes parameters of log data storage by adjusting retention periods, compression levels, and priority levels based on verification needs. This dynamic parameter adjustment allows efficient storage management while maintaining necessary verification completeness.
3Quantity of substance
If routes with many common points with past records are selected, then storage requirements are reduced, but route diversity decreases
Solution Approach 1:
The patent applies partial action by selecting routes that have some common points with past records rather than requiring complete uniqueness. This partial overlap approach reduces storage requirements while still providing sufficient route variety for comprehensive verification.
Data Source
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AI summary
The present disclosure provides a travel route management system (100) that generates a travel route for autonomous driving control of a vehicle (1). The travel route management system (100) comprises one or more storage devices (120) configured to store a travel record (DAT) that includes data of past travel of the vehicle (1) by the autonomous driving control, and one or more processors (110). The vehicle (1) comprises a target storage device that stores log data related to the autonomous driving control. The one or more processors (110) are configured to execute acquiring a remaining capacity of the target storage device, generating one or more candidate routes, and selecting the travel route from the one or more candidate routes. Selecting the travel route includes using a number of common points with the travel record (DAT) as an index for selecting the travel route from the one or more candidate routes when the remaining capacity is smaller than a predetermined amount.