Autonomous Vehicle Social Network for Trusted AI Data Sharing
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Solution Overview
Problem
Current computer-assisted or autonomous driving (CA/AD) systems lack mechanisms for sharing information among vehicles to enhance operational efficiency and safety, and there are no controls for owners to manage the dissemination of proprietary AI/ML data.
Innovation Solution
The development of a CA/AD Social Network (CASN) platform that allows CA/AD vehicles to share authenticated and proprietary information through invitations, establishing trust among vehicles, and enabling features like dynamic platooning, traffic management, and infrastructure knowledge sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If CA/AD vehicles share proprietary AI/ML information freely, then vehicle operational efficiency and safety improve, but owner control over data dissemination is lost
Solution Approach 1:
The patent implements dynamic data sharing where CA/AD vehicles can adjust their information sharing preferences in real-time. Owners can dynamically control which AI/ML data is shared, with whom, and under what conditions, allowing the system to adapt to changing operational needs and owner preferences without sacrificing safety improvements
Solution Approach 2:
The patent segments proprietary AI/ML information into different categories and sharing levels. Instead of treating all data as a single unit, the system divides data types (e.g., sensor data, processing algorithms, learned patterns) and allows selective sharing of specific segments, enabling owners to control dissemination while still benefiting from shared knowledge in critical safety areas
2Reliability
If CA/AD vehicles establish trust through invitations only, then information security improves, but network formation complexity increases
Solution Approach 1:
The patent implements a universal invitation mechanism that serves multiple functions: it establishes trust relationships, authenticates vehicles, negotiates data sharing terms, and registers network connections all in one process. This multi-functional approach maintains security while reducing the number of separate steps owners must take to form trusted networks
3Productivity
If CA/AD vehicles share extensive AI/ML data, then driving performance improves, but data privacy concerns increase
Solution Approach 1:
The patent applies local quality by allowing different privacy protection levels for different types of data. Critical safety data can be shared more freely to improve driving performance, while personally identifiable information or sensitive operational data receives stronger privacy protection. Each data element can have its own sharing permissions tailored to its sensitivity and value for performance improvement
Data Source
AI summary
Apparatuses, methods and storage medium associated with computer-assisted or autonomous driving (CA/AD) vehicles are disclosed herein. In embodiments, CA/AD vehicles are members of a CA/AD vehicle social network (CASN) in which various CA/AD vehicles may form connections or relationships with one another. CA/AD vehicles that have an existing relationship or connection may share CASN information with one another. The CASN information may include authenticated and/or proprietary information. Other embodiments are also described and claimed.