Vehicle Geofence Communication for Emergency Sensor Data Sharing
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Solution Overview
Problem
Existing vehicle imaging systems lack effective communication and data sharing mechanisms for first responders and emergency services to enhance situational awareness and resource management during emergencies, and there is a need for improved driver attention monitoring and feedback systems to prevent accidents.
Innovation Solution
A vehicle vision system that utilizes cameras to capture and process images, enabling geofencing for emergency data sharing and providing attention economy feedback to drivers, along with a driver trainer for feature explanation and a blockchain-based data control system for privacy and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If vehicle imaging systems capture and store sensor data continuously, then situational awareness and data availability for emergency responders is improved, but data privacy and security risks increase
Solution Approach 1:
The system pre-establishes geofence boundaries and criteria for data collection before emergencies occur. Vehicles are pre-configured to recognize when they enter geofenced areas and automatically apply data sharing rules, eliminating the need for real-time privacy decisions during critical moments.
Solution Approach 2:
The patent implements location-specific data handling where sensor data is collected, processed, and shared differently based on geographic context. Within geofenced emergency zones, data sharing is enabled with authorized responders, while outside these zones, privacy protections remain active. This creates localized data quality variations based on spatial context.
2Productivity
If real-time sensor data is shared with emergency responders, then response efficiency is improved, but communication infrastructure requirements and system complexity increase
Solution Approach 1:
The server acts as an intermediary between vehicles and emergency responders. It receives sensor data from vehicles, verifies geofence conditions, manages authentication, and distributes data to authorized responders. This mediator architecture simplifies individual vehicle systems while enabling complex coordinated responses across multiple vehicles and response teams.
Solution Approach 2:
The system segments the data sharing functionality into distinct modular components: geofence detection module, data filtering module, authentication module, and transmission module. Each component handles a specific aspect of the data sharing process, making the overall system more manageable and easier to implement incrementally.
3Ease of operation
If geofencing is used to manage data sharing zones, then data access control is improved, but measurement precision of location boundaries requires high accuracy
Solution Approach 1:
The geofence boundaries are implemented as dynamic rather than static. The system can adjust boundary definitions, buffer zones, and inclusion criteria based on the type of emergency, response team needs, and real-time conditions. This dynamic approach allows flexible data access control without requiring perfectly precise fixed boundaries.
Data Source
AI summary
A communication system includes a server operable to communicate with vehicles located remote from the server. The server is operable to receive an indication of an event that occurs remote from the server. The indication identifies a location associated with the event. The server, responsive to receiving the indication of the event, establishes a geofence that bounds the location associated with the event. The server transmits information pertaining to the established geofence to at least one of the group consisting of (i) a vehicle within the established geofence and (ii) a vehicle within a threshold distance of the established geofence. When a vehicle that received the transmitted information is within the established geofence, the server receives, from the respective vehicle within the established geofence, information derived from sensor data captured by at least one sensor of the vehicle within the established geofence.