Vehicle Data Logger Segmentation for ADAS Cloud Upload
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Solution Overview
Problem
The existing process of transferring vehicle data from advanced driver assist systems (ADAS) to cloud storage is inefficient and costly, particularly due to the large volume of data generated by advanced sensors, which requires vehicles to remain out of service for extended periods and incurs high transfer and storage costs.
Innovation Solution
A vehicle system with an integrated data logger and data box that separates data into critical and non-critical categories, transmitting critical data in real-time to the cloud via wireless transceivers while driving and storing non-critical data locally, allowing for efficient and cost-effective data transfer by utilizing both wireless and wired connections during vehicle charging or parking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all ADAS data is transmitted to cloud storage, then data completeness is improved, but data transfer time and cost increase
Solution Approach 1:
The patent segments ADAS data into two categories: critical data (safety-related, requiring immediate transmission) and non-critical data (less urgent, can be stored locally). This segmentation allows the system to transmit only essential data in real-time, reducing transfer time while maintaining data completeness for safety-critical information.
Solution Approach 2:
The patent extracts and transmits only the critical portion of ADAS data to cloud storage, leaving non-critical data stored locally in the data box. This extraction approach ensures that essential safety information is uploaded promptly while avoiding the time cost of transferring all data.
2Loss of information
If all ADAS data is transmitted to cloud storage, then data completeness is improved, but transmission cost increases
Solution Approach 1:
The patent segments ADAS data into critical and non-critical categories, transmitting only critical data to the cloud. This reduces the volume of data transmitted, thereby lowering transmission costs while maintaining completeness of essential safety information.
Solution Approach 2:
The patent extracts only the necessary critical data for cloud transmission, leaving non-critical data stored locally. This extraction minimizes transmission volume and associated costs while ensuring that safety-relevant information is preserved and uploaded.
3Speed
If data is transmitted in real-time, then data availability is improved, but system complexity increases
Solution Approach 1:
The patent implements a segmentation-based transmission strategy where critical data is transmitted in real-time through wireless transceivers, while non-critical data is handled differently. This selective real-time transmission achieves fast data availability for safety-critical information without requiring complex real-time processing of all data types.
Data Source
AI summary
In one exemplary arrangement, a data logging device for a vehicle is disclosed that comprises a computing unit, a data interface and a data box. The computing unit is configured to collect data from a vehicle. The collected data is transferred from the computing unit to the data box that is integrally housed in the data logging device via the data interface. The data box is configured to transmit data externally from the data logging device to a cloud storage solution.