Cloud-Connected Vehicle Diagnostics for Automated Emergency Assistance
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Solution Overview
Problem
Existing vehicle emergency assistance systems require occupant intervention and lack automated diagnosis capabilities, especially in autonomous vehicles, and do not utilize historical diagnostic data for informed assistance.
Innovation Solution
A software-defined vehicle with continuous cloud connectivity autonomously shares diagnostic data from various detectors to a cloud processor, enabling automatic incident response based on historical data and occupant distress detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a panic button system is used, then assistance can be requested, but occupant intervention is required and sufficient diagnostic information is not conveyed
Solution Approach 1:
The system continuously collects and transmits diagnostic data from multiple vehicle sensors (engine parameters, fluid levels, battery status, etc.) to the cloud processor before an emergency occurs. This preliminary data gathering ensures that when assistance is needed, comprehensive diagnostic information is already available, eliminating the need for occupant intervention to provide details about the vehicle's condition.
2Extent of automation
If traditional emergency systems are used, then assistance can be requested, but automated diagnosis capability is lacking
Solution Approach 1:
The cloud processor receives continuous diagnostic data from the vehicle and compares it against historical data and thresholds to automatically detect issues. The system provides feedback by sending notifications to the occupant's mobile device when specific conditions are met (e.g., fluid levels below threshold, engine parameters out of range), enabling automated diagnosis without requiring the occupant to understand or interpret complex vehicle systems.
3Extent of automation
If autonomous vehicles lack historical diagnostic data, then automated assistance can be summoned, but informed diagnosis is challenged
Solution Approach 1:
The system continuously collects and stores diagnostic data in the cloud processor before emergencies occur, building a historical database of vehicle conditions. This preliminary action ensures that when automated assistance is needed, the system has access to extensive historical data for comparison and analysis, enabling informed diagnosis even in autonomous vehicles without onboard diagnostic expertise.
Data Source
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AI summary
A system for cloud-based emergency services in vehicles includes a vehicle. A plurality of detectors are coupled to the vehicle. Each detector is configured to generate a respective diagnostic data, wherein the detectors comprise at least an oxygen sensor in a cabin of the vehicle. A data collection system is configured to receive at least one of the diagnostic data prior to an incident, and to autonomously transmit the at least one of the diagnostic data to a cloud processor, wherein the cloud processor is configured to transmit a request based on the diagnostic data received by the cloud processor, to mitigate an effect on an occupant of the vehicle in response to the incident.