V2V Media Data Control via Contextual Mediator
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Solution Overview
Problem
Current computing systems lack effective methods for controlling and sharing media data, such as video and audio, between vehicles in real-time, which is crucial for enhancing safety and convenience in vehicle-to-vehicle communication environments.
Innovation Solution
A processor-based system that enables the control and sharing of media data between vehicles by issuing requests based on contextual factors and user-selected criteria, using IoT devices equipped with cameras and sensors to provide live streaming or on-demand access to media data, allowing vehicles to collaborate and share information for improved situational awareness and decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If media data is shared between vehicles in real-time, then safety and situational awareness are improved, but data security and privacy control become more difficult to manage
Solution Approach 1:
The patent introduces a mediator system that manages media data sharing between vehicles. This intermediary layer handles authentication, authorization, and data transmission control, allowing vehicles to share media data securely without direct peer-to-peer complexity. The mediator system implements policies for what data can be shared, with whom, and under what conditions, resolving the contradiction by centralizing control functions.
Solution Approach 2:
The system implements feedback mechanisms where vehicles receive confirmation about data sharing status, access permissions, and security policies. This feedback loop allows the system to dynamically adjust data sharing based on current safety requirements and security constraints, maintaining reliability while managing complexity through adaptive control.
2Loss of information
If comprehensive media data is collected from multiple vehicles, then navigation and situational awareness are improved, but data transmission bandwidth and processing requirements increase
Solution Approach 1:
The patent extracts only the essential and relevant media data features needed for navigation and situational awareness, rather than transmitting complete raw media streams. By extracting key information such as object detection results, critical environmental features, and relevant spatial data, the system maintains high situational awareness while significantly reducing bandwidth consumption and processing requirements.
Solution Approach 2:
The system applies local quality enhancement by transmitting higher quality data only for critical regions of interest (such as areas with detected obstacles or pedestrians) while using lower quality or summarized data for less critical areas. This selective quality approach optimizes the balance between information completeness and resource consumption.
3Ease of operation
If user-selected criteria are implemented for data access, then privacy control is improved, but system operation complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where users automatically configure their privacy preferences and data sharing criteria based on pre-defined profiles and contextual information. The system automatically applies these user-selected criteria to data access requests without requiring manual intervention for each request, thereby improving privacy control while minimizing the operational complexity burden on users.
Data Source
AI summary
Embodiments for controlling information in an internet of things (IoT) computing environment by a processor. A request may be issued for media data from one or more IoT devices associated with one or more collaborative vehicles. Approval for accessing the media data may be granted according to one or more contextual factors and user selected criteria.