Onboard Vehicle Data Retention for Real-Time Upload and Storage Limits
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Solution Overview
Problem
Autonomous vehicles generate vast amounts of data during operation that need to be efficiently and reliably managed for secure storage and real-time access, as existing methods require vehicles to return to a facility for data retrieval and analysis, which is inefficient and may not allow for immediate evaluation of performance.
Innovation Solution
A system and method that includes a data manager, annotator, and transmitter to automatically monitor storage capacity, annotate data for deletion based on age and priority, and upload specific data sets to a remote monitoring system in real-time, ensuring sufficient storage space and immediate access to critical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If data is stored onboard the autonomous vehicle during operational runs, then data availability for real-time analysis is improved, but storage capacity is consumed and requires manual retrieval
Solution Approach 1:
The system automatically deletes data from onboard storage based on age criteria and priority levels. Data is discarded when it exceeds the maximum age threshold or when storage capacity is insufficient, allowing continuous operation without manual intervention while managing storage capacity constraints
Solution Approach 2:
The data manager autonomously monitors storage capacity, determines which data to delete based on predefined policies, and executes deletion without human intervention. The system serves itself by automatically managing its own data storage and retrieval needs
2Loss of information
If all generated data is retained onboard the vehicle, then data completeness is improved, but storage utilization is excessive and prevents new data from being stored
Solution Approach 1:
The system applies different retention policies to different data based on their priority levels and ages. Critical recent data is retained while older or less important data is deleted, creating a differentiated storage strategy that preserves information quality while managing quantity
Solution Approach 2:
The system changes the state of data from retained to deleted based on parameter thresholds (age and priority). Data that exceeds the maximum age parameter or falls below retention criteria is automatically removed, dynamically adjusting storage contents based on defined parameters
3Device complexity
If manual data retrieval methods are used, then system complexity is reduced, but operational efficiency is decreased due to waiting for vehicle return
Solution Approach 1:
The data manager autonomously performs monitoring, decision-making, and data deletion operations without requiring human intervention or complex manual procedures, achieving simple automation that improves productivity
Solution Approach 2:
The system proactively monitors storage capacity and preemptively deletes data before storage is full, preventing data loss and avoiding the need for complex emergency retrieval operations, thereby maintaining high productivity
Data Source
AI summary
A system and method including monitoring an available storage capacity of a data store onboard a vehicle and annotated data stored therein, the annotated data stored in the data store including event data associated with an operation of the vehicle; automatically deleting, in response to an indication of at least one of the available storage capacity of the data store and the annotated data stored therein, at least a portion of the data from the data store; and generating an output including an indication of a completion of the automatic deleting of the at least a portion of the data.