Autonomous Vehicle Data Marketplace for Reuse and Compatibility
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Solution Overview
Problem
The development of autonomous vehicles is hindered by the lack of established standards for software interfaces and data exchange, leading to resource-intensive processes and minimal reuse or sharing of data and software among developers.
Innovation Solution
A platform that utilizes hardware processors to receive, analyze, and enhance sensor data and software modules, enabling their publication and purchase through an online marketplace, with features like problem detection, data anonymization, and compatibility testing with ROS and Apex.OS APIs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If developers collect and utilize only their own data without exchange, then data quality and control are maintained, but development time and resource requirements increase significantly
Solution Approach 1:
The patent creates a universal data exchange platform that enables multiple developers to share and reuse sensor data and software modules across different autonomous vehicle projects. The standardized interface allows the same data to serve multiple development purposes, eliminating the need for each developer to collect identical data independently, thus reducing development time while maintaining data quality through systematic validation.
Solution Approach 2:
The system performs preliminary validation, anonymization, and enhancement of sensor data before it is made available for exchange. By pre-processing data to ensure quality standards, proper formatting, and removal of identifying information beforehand, the platform enables developers to immediately use the data without additional processing, significantly reducing development time while ensuring reliability.
2Reliability
If comprehensive data validation and enhancement are performed, then data quality and compatibility are improved, but processing time and computational resources increase
Solution Approach 1:
The system performs validation, anonymization, and enhancement operations as preliminary steps when data is first uploaded to the exchange platform. By completing these computationally intensive tasks before the data enters the marketplace, the system ensures high data quality and compatibility without requiring each developer to invest additional computational resources when using the data.
Solution Approach 2:
The automated validation and enhancement system serves the data itself by detecting problems, anonymizing information, and enhancing quality metrics automatically. This self-service approach eliminates the need for manual processing by each developer, reducing overall computational resource consumption across the development community while maintaining high data quality standards.
3Productivity
If detailed sensor data is shared across developers, then data reuse and collaboration improve, but data security and privacy protection become more difficult
Solution Approach 1:
The system extracts and removes identifying information from sensor data through automated anonymization processes before making the data available for exchange. By separating the useful sensor information from personally identifiable information and location data, the platform enables comprehensive data reuse for autonomous vehicle development while protecting individual privacy and security.
Solution Approach 2:
The exchange platform acts as an intermediary between data collectors and data users, implementing automated validation and anonymization protocols. This intermediary layer ensures that data is properly processed and secured before sharing, enabling collaboration and data reuse while maintaining security and privacy protections through systematic intermediate processing steps.
Data Source
AI summary
Management of data and software for autonomous vehicles. In an embodiment, sensor data is received. The sensor data is collected by one or more sensor systems of one or more vehicles, and submitted by a first user via at least one network. The sensor data is automatically analyzed to detect any problems with the sensor data and to enhance the sensor data, prior to publishing a description of the sensor data in an online marketplace. A graphical user interface is generated that comprises one or more screens of the online marketplace, via which a second user may view the description of the sensor data and purchase the sensor data for download via the at least one network.


