Video Sharing System for Road Users with Dynamic Field Overlap
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing traffic surveillance and guidance systems face challenges in efficiently sharing video streams between road users located on opposite sides of obstacles, such as buildings, and maintaining privacy while allowing video sharing between willing participants, especially when they are moving or located near geographical boundaries.
Innovation Solution
A dynamic traffic server system that establishes temporary unions of video fields between road users with overlapping video observation spaces, enabling video streaming and distribution based on GPS coordinates and hybrid positioning systems, allowing road users to request and share video streams from other users within their field of view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If video streaming is enabled between road users with overlapping fields of view, then traffic condition awareness is enhanced beyond physical boundaries, but privacy and control over shared video content become more challenging
Solution Approach 1:
The server acts as an intermediary that manages video stream distribution between road users. It receives video streams from users whose fields of view overlap with others, distributes appropriate streams to interested users, and maintains privacy by controlling which videos are shared and to whom, based on field of view geometry and user requests.
Solution Approach 2:
The system provides differentiated video sharing based on local spatial relationships. Video streams are selectively distributed only to users whose fields of view overlap with the source user's field of view, creating a localized sharing mechanism that respects spatial privacy boundaries while enabling relevant information sharing.
2Adaptability or versatility
If dynamic union establishment is implemented based on overlapping video fields, then adaptability to changing user positions is improved, but system complexity increases
Solution Approach 1:
The system dynamically establishes and dissolves unions of road users based on real-time changes in their fields of view. When users move such that their fields of view overlap, unions are formed automatically; when overlap ceases, unions are dissolved. This dynamic adaptation continues without manual intervention, allowing the system to respond to changing spatial relationships.
Solution Approach 2:
The server continuously monitors field of view overlaps and proactively establishes unions before users need to share video content. This preliminary detection and setup of communication channels based on geometric overlap eliminates the need for users to manually initiate connections, reducing operational complexity while maintaining adaptability.
3Ease of operation
If automatic union formation is implemented based on field of view overlap, then ease of operation is improved, but measurement precision requirements increase
Solution Approach 1:
The system performs self-service by automatically detecting field of view overlaps and establishing unions without user intervention. Users simply need to have their devices transmit location and orientation data, and the server autonomously determines when fields of view overlap and creates appropriate video sharing connections, eliminating manual setup complexity.
Solution Approach 2:
The server monitors changes in spatial parameters (position, orientation, field of view geometry) and uses these parameter changes to trigger union formation or dissolution. By continuously updating and comparing geometric parameters, the system achieves accurate detection of field of view overlaps without requiring complex manual measurement or user input.
Data Source
AI summary
A traffic surveillance and guidance system comprising a traffic server system is disclosed. The traffic server is configured to receive and update and record data of geographical positions of registered road users, and wherein each registered road user is registering a replaceable and modifiable geometrically shaped model of a field of view representing the respective road users observation space and observation ability of possible traffic incidents around geographical positions the respective road users are located on at any time.