Driver Takeover Notification Timing for Autonomous Control Handover
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Solution Overview
Problem
The transition of control from an autonomous driving system to a human driver needs to be smooth, calm, and timely for safety, but existing methods do not adequately account for individual driver attributes, leading to potential safety issues and negative driving experiences.
Innovation Solution
A method that determines a personalized notification procedure for the human driver based on their attributes, including permanent and temporary characteristics, using data from driver monitoring sensors and machine learning techniques to adjust the notification timing and type accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed notification procedure is used for all drivers, then the system complexity is reduced, but the transition safety and driver experience deteriorate due to lack of personalization
Solution Approach 1:
The notification procedure transitions from a fixed static approach to a dynamic adaptive system that automatically adjusts notification timing and type based on real-time driver state monitoring. The system dynamically selects from multiple notification strategies (visual, auditory, haptic) and timing configurations based on driver attributes detected by monitoring sensors, ensuring optimal safety without manual configuration complexity.
Solution Approach 2:
The system performs self-characterization by automatically analyzing driver monitoring data (eye tracking, head position, seatbelt status) to infer driver attributes and preferences. This self-service approach eliminates the need for manual driver profiling or complex user setup, allowing the system to personalize notifications autonomously while maintaining simplicity for the user.
2Reliability
If the notification time is extended to ensure smooth transition, then driver response quality improves, but the productivity of the autonomous driving system deteriorates due to longer take-over times
Solution Approach 1:
The system dynamically changes the notification time parameter based on detected driver state and inferred attributes. For attentive drivers with good response history, the notification time is minimized to maintain productivity. For distracted or fatigued drivers, the notification time is automatically extended to ensure safe transition, optimizing the balance between efficiency and safety on a per-driver basis.
Solution Approach 2:
The system performs preliminary assessment of driver state and readiness before initiating the take-over notification. By pre-evaluating driver attributes through monitoring sensors and historical data, the system can prepare optimal notification parameters in advance, reducing actual notification time while ensuring adequate driver response time through proactive driver state management.
3Adaptability or versatility
If multiple notification types are used to accommodate different driver preferences, then adaptability improves, but the device complexity increases due to multiple notification mechanisms
Solution Approach 1:
The notification system is designed with multi-functionality, integrating visual, auditory, and haptic notification capabilities within a single unified system architecture. The system universally supports multiple driver preferences and states through one adaptable notification module, eliminating the need for separate independent notification systems and reducing overall complexity while maintaining versatility.
4Measurement precision
If driver monitoring sensors are continuously activated to personalize notifications, then notification accuracy improves, but the energy consumption increases
Solution Approach 1:
The driver monitoring sensors operate periodically rather than continuously, activating at key moments such as when take-over requests are generated or at scheduled intervals. This periodic operation maintains adequate measurement precision for personalization while dramatically reducing energy consumption compared to continuous monitoring, optimizing the balance between accuracy and efficiency.
Data Source
Figure 1~2
AI summary
The disclosure relates to a method for determining a notification procedure for prompting a human driver of a vehicle to take over control from an autonomous driving system of the vehicle. The notification procedure is at least defined by a notification starting time and a first notification type. The method comprises receiving a take-over request and an associated take-over time information (S1), determining a driver attribute describing the human driver (S2), and determining a notification starting time and a first notification type depending on the driver attribute (S3). Moreover, a method for transitioning control of a vehicle from an autonomous driving system to a human driver is presented. Additionally, a corresponding data processing apparatus and an autonomous driving system comprising such a data processing apparatus are explained.