Autonomous Driving Sensor Logging for Storage Overflow Prevention

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Solution Overview

Problem

The limited capacity of on-board storage in autonomous vehicles poses a challenge in storing sufficient log data for verifying autonomous driving, as storing all data can lead to storage overflow, preventing the minimum necessary data from being retained.

Innovation Solution

The vehicle employs a system that adjusts the storage distance of data based on speed, prioritizing storage when the vehicle is moving slowly and reducing it when moving quickly, using sensors like LiDAR and cameras to determine the necessary data to store, and implementing threshold-based strategies to manage storage capacity effectively.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If all sensor data is stored during autonomous driving, then verification data completeness is improved, but storage capacity is exhausted

Engineering Contradiction:
Improveverification data completenessVSAvoidstorage capacity
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The patent applies local quality by differentiating storage requirements based on vehicle speed conditions. When the vehicle is stationary or moving slowly, storage distance is extended to capture more comprehensive sensor data for verification. When the vehicle moves at high speed, storage distance is reduced to conserve limited storage capacity. This selective storage approach ensures verification data completeness is maintained for critical low-speed scenarios while preventing storage exhaustion during high-speed operation.

Inventive Principle:
Principle #3Local quality

2Measurement precision

If storage distance is increased to capture more objects, then recognition accuracy is improved, but data storage amount increases

Engineering Contradiction:
Improverecognition accuracyVSAvoiddata storage amount
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent implements dynamics by making the storage distance parameter variable rather than fixed. The storage distance is dynamically adjusted based on the vehicle's current speed condition. At low speeds, the storage distance is extended to improve recognition accuracy by capturing more objects in the environment. At high speeds, the storage distance is reduced to limit data storage amount and prevent overflow. This dynamic adjustment resolves the contradiction between recognition accuracy and data storage amount.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentEP4485402A1Autonomous driving vehicle
Publication Date: 2025.01.01 TOYOTA JIDOSHA KK
  • EP4485402A1 patent drawingFigure 1
  • EP4485402A1 patent drawingFigure 2
  • EP4485402A1 patent drawingFigure 3

AI summary

The vehicle (1) of the present disclosure includes a sensor (11) for recognizing an object around the vehicle (1), at least one processor (110), and at least one memory (120) storing a plurality of instructions executable by the at least one processor (110). The plurality of instructions causes the at least one processor (110) to store data acquired by the sensor (11) during the autonomous driving, and to suppress a storage distance of the data when a speed of the vehicle (1) is low, as compared to when the speed of the vehicle (1) is high.