Autonomous Vehicle Data Marketplace for Secure Reuse and Exchange
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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 is introduced that utilizes hardware processors to receive, analyze, and enhance sensor data and software modules for autonomous vehicles, enabling their publication and purchase through an online marketplace, with features like problem detection, metric computation, and environmental association, while ensuring compatibility and safety standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If developers collect and utilize only their own data without exchange, then data security and ownership are maintained, but development efficiency decreases and resource waste increases
Solution Approach 1:
The patent introduces an online marketplace as an intermediary platform that enables secure data exchange between developers. The platform acts as a trusted mediator that facilitates data sharing while maintaining ownership rights through standardized interfaces and protocols, allowing developers to monetize their data without compromising security or control
Solution Approach 2:
The patent creates a universal data exchange platform that serves multiple functions: data storage, secure sharing, monetization, and standardized access. This multi-functional system allows different developers to exchange various types of autonomous vehicle data (sensor data, software modules, datasets) through a common infrastructure, improving overall development efficiency
2Manufacturing precision
If comprehensive sensor data is collected for autonomous vehicle development, then training quality improves, but data management complexity and storage requirements increase
Solution Approach 1:
The patent segments comprehensive sensor data into organized datasets with standardized formats and metadata. By dividing large volumes of raw sensor data into structured, manageable datasets with clear documentation, the system maintains high training quality while reducing management complexity through systematic organization
Solution Approach 2:
The patent transforms raw sensor data by applying standardized formatting, metadata tagging, and quality validation parameters. This parameter transformation process converts unstructured data into standardized datasets that are easier to manage, store, and exchange while preserving the quality needed for effective model training
3Reliability
If developers create proprietary software solutions, then software functionality is optimized, but software compatibility and reuse opportunities are limited
Solution Approach 1:
The patent implements dynamic software module design that allows proprietary software to maintain optimized functionality while adapting to different platforms and use cases. Software modules are designed to be configurable and reusable across different autonomous vehicle systems, balancing specialization with broad compatibility
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.