Automated Driving Log Storage Near 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 parameter based on the distance to the upload position. The storage amount is not fixed but varies continuously as the vehicle approaches the upload location, increasing from a first value at greater distances to a second value at shorter distances. This dynamic parameter adjustment resolves the contradiction by adapting storage capacity utilization to the actual upload timeline.
Solution Approach 2:
The patent changes the parameter of storage amount from a constant value to a variable value that depends on the distance to the upload position. By making the storage amount parameter changeable based on spatial position, the system can optimize between storing sufficient data and preserving free space, thereby resolving the contradiction between quantity of stored data and storage device capacity.
2Loss of information
If the storage amount is increased to store more log data, then the data richness improves, but the risk of storage depletion increases
Solution Approach 1:
The patent performs preliminary action by pre-calculating and setting appropriate storage amounts at different distances from the upload position. Before the storage device becomes full, the system has already determined the optimal storage amount based on the remaining distance, preventing storage depletion while ensuring sufficient data is collected for upload.
Solution Approach 2:
The patent implements feedback by continuously monitoring the distance to the upload position and adjusting the storage amount parameter accordingly. The system uses the distance information as feedback to dynamically control how much data to store, creating a closed-loop control mechanism that balances data richness with storage safety.
Data Source
AI summary
An automated driving system installed on a vehicle includes one or more processors and one or more storage devices. The one or more processors perform at least a part of automated driving control of the vehicle by using a machine learning model. During execution of the automated driving control, the one or more processors acquire target data including log data related to the automated driving control that uses the machine learning model. The target data of a target storage amount are stored in the one or more storage devices per unit time or unit distance. At an upload position, at least a part of the target data stored in the one or more storage devices is uploaded to an external device. The target storage amount includes a first storage amount that increases as a remaining distance or a remaining time to the upload position decreases.


