Driver Alertness Assessment for Automated-to-Manual Takeover Timing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current technologies do not effectively control the timing of switching from automatic driving to manual driving, leading to potential accidents due to driver alertness levels being too low, as they lack a mechanism to notify drivers at the optimal time for a safe transition.
Innovation Solution
An information processing device and method that determine a driver's alertness level by acquiring observation information and controlling the timing of a manual driving return request notification, ensuring the driver is adequately alert before switching modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the driver is allowed to perform activities during automatic driving (such as napping, watching TV, reading), then the comfort and relaxation of the driver is improved, but the driver's alertness level decreases, which may lead to unsafe manual driving when switching modes
Solution Approach 1:
The system performs preliminary assessment of the driver's alertness level before allowing mode switching from automatic to manual driving. By evaluating alertness in advance through observation information analysis, the system ensures the driver is capable of safe manual driving before the transition occurs, preventing unsafe operations due to drowsiness or distraction
Solution Approach 2:
The system continuously monitors the driver's state and provides feedback by determining alertness levels based on observation information. This feedback mechanism allows the system to assess whether the driver has maintained sufficient alertness during automatic driving activities and to control mode switching accordingly, ensuring safety while allowing comfort
2Loss of time
If the notification timing for manual driving return request is delayed, then the driver has more time to prepare for mode switching, but the driver's alertness level may have dropped too low, increasing accident risk
Solution Approach 1:
The notification timing is made dynamic rather than fixed. The system adjusts the notification timing based on the driver's real-time alertness level, which changes over time during automatic driving. This dynamic adjustment allows optimal balance between providing sufficient notice and ensuring the driver remains alert enough for safe manual driving transition
3Reliability
If the system requires the driver to be highly alert before mode switching, then driving safety is improved, but the driver's freedom to perform activities during automatic driving is restricted
Solution Approach 1:
The system changes the parameter of alertness level assessment to determine mode switching eligibility. By establishing specific alertness thresholds and continuously monitoring this parameter, the system allows driver activities during automatic driving while ensuring that mode switching only occurs when the driver meets the required alertness criteria, balancing safety with driver freedom
Data Source
AI summary
An alertness level that is the consciousness level of the driver of a vehicle is determined, and the timing of a manual driving return request notification is controlled in accordance with the alertness level. A data processing unit determines the alertness level of the driver of the vehicle, and records evaluation data. The data processing unit acquires observation information about the driver, determines the alertness level of the driver, and evaluates and records the return rate at each time. The vehicle is a vehicle capable of switching between automatic driving and manual driving, and the data processing unit controls the timing of a manual driving return request notification for the driver's return from automatic driving to manual driving, in accordance with the alertness level of the driver. The observation information to be acquired by the data processing unit includes observation information about the driver both before and after the driver gets in the vehicle. For example, passive monitoring, information about the driver's response to a notification, and the like are observed.


