Autonomous Driving Data Sharing Through Verified Agent Networks
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Solution Overview
Problem
The concentration of data traffic on cloud servers in current autonomous driving systems leads to increased response times and security risks, compromising the safety and efficiency of connected cars.
Innovation Solution
A system and method for transmitting and receiving autonomous driving-related data among mobile, stationary, and pedestrian agents, enabling direct communication and forming social networks to share driving information without relying solely on cloud servers, using identity checks and social management modules to establish and maintain agent connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data traffic is concentrated on cloud servers, then centralized data management is achieved, but response time increases and security risks arise
Solution Approach 1:
The patent segments the centralized cloud server architecture into distributed edge computing nodes deployed at traffic infrastructure locations. Each edge node processes and manages data locally for its specific region, dividing the monolithic cloud system into multiple autonomous segments that can operate independently, thereby reducing response time while maintaining organized data management.
Solution Approach 2:
The patent introduces a new spatial dimension to data management by deploying computing resources across multiple geographic locations rather than concentrating them in a single cloud data center. This dimensional distribution of computing power allows data processing to occur closer to the source, reducing transmission delays while maintaining centralized coordination through the management server.
2Productivity
If data traffic is concentrated on cloud servers, then centralized data management is achieved, but security vulnerabilities increase
Solution Approach 1:
The patent segments the centralized cloud server architecture into distributed edge computing nodes deployed at traffic infrastructure locations. Each edge node processes and manages data locally for its specific region, dividing the monolithic cloud system into multiple autonomous segments that can operate independently, thereby reducing response time while maintaining organized data management.
Solution Approach 2:
The patent introduces edge computing nodes as intermediary layers between mobile agents and the central cloud server. These intermediaries process and filter data locally before transmitting to the cloud, reducing the attack surface and providing additional security layers while maintaining efficient data management through coordinated communication protocols.
3Loss of time
If direct agent-to-agent communication is implemented, then response time is reduced, but system complexity increases
Solution Approach 1:
The patent introduces edge computing nodes as intermediary layers between mobile agents and the central cloud server. These intermediaries process and filter data locally before transmitting to the cloud, reducing the attack surface and providing additional security layers while maintaining efficient data management through coordinated communication protocols.
Solution Approach 2:
The patent designs edge computing nodes with universal communication interfaces and standardized protocols that can handle multiple types of interactions (agent-to-agent, agent-to-cloud, cloud-to-agent). This multi-functionality reduces system complexity by providing a unified communication framework rather than requiring separate specialized systems for each communication type.
Data Source
AI summary
Disclosed is a method for transmitting and receiving autonomous driving-related data, which includes checking, at a second mobile agent, a web server address of a first mobile agent, performing a first identity check procedure between the second mobile agent and the first mobile agent, and forming a social between the second mobile agent and the first mobile agent.