Autonomous Vehicle Emergency Evacuation System

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Solution Overview

Problem

Drivers experiencing medical emergencies, such as seizures or loss of consciousness, pose a significant risk of traffic accidents due to loss of vehicle control, and existing autonomous driving technologies lack effective methods to safely evacuate the vehicle from traffic.

Innovation Solution

The implementation of an autonomous driving system that monitors biophysical parameters and vehicle motion to detect potential medical emergencies, allowing the vehicle to autonomously evacuate the driver to a safe location based on determined severity levels and autonomous driving classification, using sensors, motion detectors, and communication devices to execute evacuation plans.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If autonomous driving system evacuates vehicle from traffic upon detecting medical emergency, then safety of driver and other road users is improved, but response time and evacuation speed may be reduced due to severity determination process

Engineering Contradiction:
ImprovesafetyVSAvoidresponse time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary classification of emergency severity levels and pre-determines appropriate evacuation strategies before actual evacuation is needed. By categorizing emergencies into different severity levels in advance, the system can quickly respond without delays during critical moments.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system dynamically adjusts the evacuation process based on determined severity levels, selecting different evacuation strategies for different emergency types. This dynamic response allows the system to optimize both safety and response time by matching the evacuation approach to the specific emergency situation.

Inventive Principle:
Principle #15Dynamics

2Measurement precision

If system monitors multiple biophysical parameters and vehicle motion data to detect medical emergencies, then detection accuracy is improved, but device complexity and computational requirements increase

Engineering Contradiction:
Improvedetection accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system uses a multi-functional monitoring approach where sensors collect various types of data (biophysical parameters, vehicle motion data) that serve multiple purposes. The same sensor data is used for both detecting medical emergencies and determining their severity levels, reducing the need for separate specialized systems.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The detection system is segmented into modular components that monitor specific parameters independently. This modular architecture allows the system to process multiple data streams separately and then integrate them, reducing overall system complexity while maintaining high detection accuracy.

Inventive Principle:
Principle #1Segmentation

3Adaptability or versatility

If system adapts evacuation strategy to autonomous driving classification level, then adaptability to different vehicle capabilities is improved, but decision-making complexity increases

Engineering Contradiction:
ImproveadaptabilityVSAvoiddecision complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system adapts to different autonomous driving capabilities by changing operational parameters based on the vehicle's classification level. Rather than redesigning the entire system for each capability level, it adjusts specific evacuation parameters and strategies to match available autonomous driving functions.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system pre-determines appropriate evacuation strategies for each autonomous driving classification level, creating a lookup structure that simplifies real-time decision-making. By preparing evacuation plans in advance for different capability levels, the system reduces on-the-fly decision complexity.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10241511B2Emergency evacuation using autonomous driving
Publication Date: 2019.03.26 FORD GLOBAL TECH LLC
  • US10241511B2 patent drawing
  • US10241511B2 patent drawing
  • US10241511B2 patent drawing

AI summary

Methods and systems for detecting a medical emergency related to the driver of a vehicle are described. Various data, such as in-situ biophysical data of the driver, a medical history of the driver, and in-situ motion data of the vehicle, are employed to determine a possible medical emergency. In an event that a medical emergency is detected, the system determines the severity of the emergency and takes appropriate control of the vehicle. If the medical emergency is not life-threatening, the system may drive the vehicle to a safe area, park the vehicle, and then request help from emergency service providers (e.g., ambulance and police). If the medical emergency is severe (e.g., life-threatening), the system may transition the vehicle to an EMS (Emergency Medical Service)-privileged vehicle and autonomously drive the vehicle to an emergency service provider.