Driver Status Monitoring for Autonomous Shoulder Stopping
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Solution Overview
Problem
Existing Advanced Driver Assistance Systems (ADAS) do not effectively address the issue of determining a driver's intention to continue driving, which can lead to unsafe driving conditions such as drowsy or careless driving, and lack the capability to autonomously control the vehicle to stop on a road shoulder when the driver has no intention to drive.
Innovation Solution
A system and method that utilizes a combination of sensing devices including cameras, vehicle dynamics sensors, and navigation systems to analyze a driver's face and pupils, and an electronic control unit (ECU) to control the vehicle to stop on a road shoulder if the driver has no intention to drive, ensuring safer driving conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system monitors driver status using sensing devices and analyzes face and pupils, then the driver status recognition accuracy is improved, but the device complexity increases
Solution Approach 1:
The system divides driver status monitoring into multiple independent modules: face detection module, pupil detection module, and status analysis module. Each module processes specific aspects of driver status separately, improving recognition accuracy while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The sensing devices are designed to perform multiple functions: capturing driver images, detecting pupil position and size, analyzing facial expressions, and determining driver status. This multi-functionality reduces the need for separate specialized sensors, balancing measurement precision with device complexity.
2Reliability
If the system autonomously controls the vehicle to stop on a road shoulder when driver has no intention to drive, then the driving safety is improved, but the ease of operation deteriorates
Solution Approach 1:
The system performs preliminary monitoring and analysis of driver status continuously before taking autonomous action. By detecting signs of driver inattention or loss of control intention in advance, the system prepares for safe autonomous stopping while giving the driver opportunity to regain control, thus improving safety without completely removing driver operation.
Solution Approach 2:
The system provides continuous feedback to the driver through warnings and alerts when abnormal driving status is detected. This feedback loop allows the driver to correct their behavior before autonomous intervention occurs, maintaining ease of operation while ensuring safety through progressive escalation from warning to autonomous stopping.
3Speed
If the system analyzes driver status in real-time during vehicle driving, then the response time to dangerous situations is improved, but the use of energy increases
Solution Approach 1:
The system performs driver status analysis at periodic intervals rather than continuously, capturing images and analyzing pupil position and facial expressions at predetermined time frames. This periodic processing reduces energy consumption while maintaining adequate response time to detect changes in driver status and respond to dangerous situations.
Data Source
AI summary
A system and method for controlling a vehicle based on a driver status are disclosed. The vehicle control system includes various sensing devices (including a camera, a vehicle dynamics sensor, a vehicle around view monitoring (AVM) camera, a periphery surveillance sensor, and a navigation device) and an electronic control unit (ECU). The ECU may analyze a driver status through the driver's face and pupils recognized by output signals of the sensing devices. If the driver has no intention to drive the vehicle, the ECU may control the vehicle to stop on a road shoulder, resulting in guarantee of safer driving.