Automated Driving Log Storage Around Upload Points
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Solution Overview
Problem
The limited capacity of in-vehicle storage devices poses a challenge in storing log data related to automated driving control, risking depletion of free space and inability to store necessary data.
Innovation Solution
The automated driving system dynamically adjusts the storage amount of log data based on the remaining distance or time to an upload position, increasing storage as the upload approaches to ensure efficient use of storage capacity and prevent data loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If log data is stored continuously in the in-vehicle storage device, then the quantity of stored log data increases, but the storage device capacity is depleted
Solution Approach 1:
The patent implements dynamic adjustment of the storage amount of log data based on the remaining distance or time to the upload position. The storage amount is not fixed but varies dynamically, increasing as the upload position approaches and decreasing when far from upload. This resolves the contradiction by making the storage capacity utilization adaptive rather than static, allowing maximum data retention without permanent depletion.
Solution Approach 2:
The patent employs periodic upload actions where log data is transmitted to external devices at regular intervals or when reaching specific upload positions. This periodic clearing of stored data prevents permanent capacity depletion while maintaining sufficient data quantity between uploads. The cycle of storing, accumulating, and periodically uploading resolves the contradiction between continuous storage and finite capacity.
2Volume of stationary object
If the storage amount of log data is decreased to preserve free space, then storage availability is maintained, but the data collection completeness is reduced
Solution Approach 1:
The patent makes the storage amount dynamic rather than static, adjusting it based on proximity to upload positions. When far from upload positions, storage amount is reduced to preserve free space. When approaching upload positions, storage amount increases to capture complete data. This dynamic adjustment resolves the contradiction between preserving free space and maintaining data completeness.
Solution Approach 2:
The patent applies different storage amounts at different locations or times along the upload route. Instead of uniform storage, the system implements local quality variation where storage intensity matches local upload opportunities. This resolves the contradiction by allowing reduced storage (preserving space) in non-upload zones and increased storage (ensuring completeness) in upload-proximity zones.
Data Source
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AI summary
An automated driving system (100) installed on a vehicle (1) includes one or more processors (110) and one or more storage devices (120). The one or more processors (110) perform at least a part of automated driving control of the vehicle (1) by using a machine learning model. During execution of the automated driving control, the one or more processors (110) acquire target data (DUP) including log data (LOG) related to the automated driving control that uses the machine learning model. The target data (DUP) of a target storage amount (Q) are stored in the one or more storage devices (120) per unit time or unit distance. At an upload position (PU), at least a part of the target data (DUP) stored in the one or more storage devices (120) is uploaded to an external device (200). The target storage amount (Q) includes a first storage amount (Q1) that increases as a remaining distance (Dr) or a remaining time (Tr) to the upload position (PU) decreases.