Autonomous Driving Data Logging for On-Board Storage Limits
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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 stored.
Innovation Solution
The vehicle employs sensors and processors to adjust the storage distance of data based on speed, prioritizing storage when the vehicle is moving slowly and reducing the storage distance when it is moving quickly, thereby optimizing storage capacity by limiting data storage to only what is necessary for verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all sensor data is stored during autonomous driving, then verification data completeness is improved, but storage capacity is exhausted
Solution Approach 1:
The patent applies local quality by making the storage distance parameter vary according to vehicle speed conditions. When speed is high, a longer storage distance is used to capture more verification data. When speed is low, a shorter storage distance suffices. This localized adjustment of storage parameters based on specific operating conditions resolves the contradiction between data completeness and storage capacity utilization.
Solution Approach 2:
The patent implements dynamics by making the storage distance a dynamic parameter that changes with vehicle speed. The storage distance is not fixed but adapts in real-time based on speed conditions, allowing the system to optimize between data completeness and storage capacity utilization under varying operational conditions.
2Measurement precision
If storage distance is increased to capture more objects, then verification accuracy is improved, but available storage capacity is reduced
Solution Approach 1:
The patent applies parameter changes by modifying the storage distance parameter based on vehicle speed. This dynamic parameter adjustment allows the system to optimize verification accuracy when needed (high speed conditions requiring longer storage distance) while conserving storage capacity when full verification capability is less critical (low speed conditions allowing shorter storage distance).
Data Source
AI summary
The vehicle of the present disclosure includes a sensor for recognizing an object around the vehicle, at least one processor, and at least one memory storing a plurality of instructions executable by the at least one processor. The plurality of instructions causes the at least one processor to store data acquired by the sensor during the autonomous driving, and to suppress a storage distance of the data when a speed of the vehicle is low, as compared to when the speed of the vehicle is high.