CA/AD Vehicle Social Network for Trusted AI/ML Data Exchange
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Solution Overview
Problem
Current computer-assisted or autonomous driving (CA/AD) systems lack mechanisms for exchanging information and sharing proprietary AI/ML data, limiting their ability to enhance vehicle operations and trust among vehicles.
Innovation Solution
The development of a CA/AD Social Network (CASN) platform that allows CA/AD vehicles to share authenticated and proprietary information through invitation-based connections, enabling trust and facilitating the sharing of AI/ML data, infrastructure knowledge, and dynamic traffic management, while also establishing dynamic platoons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If CA/AD systems operate in isolation with proprietary AI/ML data, then data security and ownership are maintained, but vehicle operation performance and collaborative learning are limited
Solution Approach 1:
The patent introduces a social network platform as an intermediary between CA/AD vehicles, allowing proprietary AI/ML data to be shared indirectly through controlled connections. This mediator enables collaborative learning while maintaining data security through invitation-based access and owner-controlled dissemination settings.
2Productivity
If CA/AD vehicles share proprietary AI/ML information freely, then collaborative learning and traffic management improve, but data ownership control and security are compromised
Solution Approach 1:
The patent implements dynamic control mechanisms where data sharing permissions are not static but can be adjusted by owners. The system allows flexible control over what proprietary AI/ML information is shared, with whom, and under what conditions, enabling owners to adapt sharing policies based on trust levels and specific contexts.
Solution Approach 2:
The social network platform acts as a controlled intermediary that facilitates AI/ML information sharing while enforcing ownership controls. Through invitation-based connections and configurable privacy settings, the mediator enables collaborative learning without compromising data ownership control.
3Adaptability or versatility
If a social network platform is implemented for CA/AD vehicles, then information exchange and trust establishment are enabled, but system complexity increases
Solution Approach 1:
The patent creates a multi-functional social network platform that serves multiple purposes: enabling AI/ML data sharing, establishing trust through authenticated connections, facilitating traffic management collaboration, and providing infrastructure knowledge exchange. This universal platform reduces overall system complexity by consolidating multiple functions into a single integrated system.
4Reliability
If CA/AD vehicles establish authenticated connections through invitations, then trust among vehicles is established, but connection establishment time and process complexity increase
Solution Approach 1:
The patent implements preliminary authentication and connection establishment mechanisms where vehicles are pre-vetted and approved before full integration into the network. Invitation-based connections allow owners to pre-establish trust relationships, reducing the time needed for ad-hoc trust verification during critical operations.
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.