Cloud-Connected Vehicle Diagnostics for Automated Incident Response
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Solution Overview
Problem
Existing vehicle emergency assistance systems require occupant intervention and lack automated diagnosis capabilities, especially in autonomous vehicles, due to insufficient historical diagnostic data and lack of continuous connectivity for real-time incident response.
Innovation Solution
A software-defined vehicle with continuous cloud connectivity autonomously shares diagnostic data from various sensors to a cloud processor, enabling automatic incident response through a cloud-based system that can unlock doors, contact emergency services, and provide real-time video footage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a cellular radio connected panic button is used for emergency assistance, then the occupant can request help, but the system requires specific occupant intervention and does not provide automated diagnosis
Solution Approach 1:
The vehicle's telematics system automatically detects emergency conditions through sensor data (collision sensors, door sensors, seatbelt status) and initiates emergency services contact without requiring occupant awareness or manual activation. The system serves itself by monitoring its own state and responding autonomously to critical conditions.
Solution Approach 2:
The system maintains continuous connectivity with emergency services and pre-configures diagnostic data collection before emergencies occur. Historical diagnostic data is stored and ready for immediate retrieval when an emergency is detected, enabling rapid automated response without delay for data gathering.
2Loss of information
If traditional emergency systems are used, then basic assistance can be requested, but sufficient diagnostic information is not conveyed for reliable issue diagnosis
Solution Approach 1:
The telematics system integrates multiple sensor types (collision sensors, door sensors, seatbelt sensors, engine diagnostics, GPS location) into a single comprehensive emergency response platform. This multi-functional approach ensures all relevant diagnostic information is captured and transmitted simultaneously, providing complete situational awareness for emergency services.
3Extent of automation
If autonomous vehicles lack continuous cloud connectivity, then basic vehicle operation is maintained, but automated diagnosis and real-time incident response are limited
Solution Approach 1:
A telematics server acts as an intermediary between the vehicle's sensor network and emergency services. The server receives diagnostic data from the vehicle, processes it against historical patterns, and triggers appropriate emergency responses. This intermediary enables sophisticated automated diagnosis without requiring the vehicle itself to be overly complex.
Data Source
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.