Vehicle Impairment Detection and Safe Driving Assistance
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Solution Overview
Problem
Autonomous vehicles at levels 3 and 4 face safety concerns when users are impaired, as they may not be able to adequately respond in emergencies due to factors like alcohol or drug consumption, posing risks to vehicle occupants.
Innovation Solution
A vehicle system that uses mounted devices and a mobile terminal to detect user impairment through various data sources, including walking information, speech, and biometric data, and provides a safe driving assistance service by emitting guide patterns, calculating driving risk, and issuing warnings or tests to ensure safe operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous driving is implemented at levels 3-4, then driving automation is improved, but safety is worsened when users are impaired
Solution Approach 1:
The system performs preliminary detection of user impairment state before allowing autonomous driving to commence. Sensors detect biometric data, walking patterns, and speech characteristics to assess whether the user is fit for driving, preventing impaired users from operating the vehicle in the first place
Solution Approach 2:
The system continuously monitors user state during autonomous driving operation and provides feedback warnings when impairment is detected. The system adjusts its response based on the level of impairment detected, escalating from warnings to restricting vehicle operation when necessary
2Measurement precision
If multiple detection methods are used to assess user impairment, then measurement precision is improved, but device complexity is worsened
Solution Approach 1:
The detection system is divided into multiple independent modules, each responsible for a specific type of data collection (biometric sensors, motion sensors, speech recognition). Each module independently processes its specific data type and contributes to the overall impairment assessment, making the complex system manageable and maintainable
Solution Approach 2:
A single processing unit integrates multiple detection functions, combining biometric analysis, motion pattern recognition, and speech evaluation into one centralized system. This multi-functional approach reduces the need for separate dedicated systems for each detection method, balancing precision with complexity
Data Source
AI summary
A vehicle includes a processing device that detects an authentication device approaching the vehicle, determines a user's impaired state based on user condition information acquired using at least one device mounted on the vehicle, and performs a safe driving assistance service. The safe driving assistance service can prevent an impaired user from operating the vehicle.