Vehicle Handover Scene Prioritization for Safe Driver Transitions
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Solution Overview
Problem
Current systems fail to adequately assess whether a human driver is prepared to take control of a vehicle transitioning from an autonomous mode, lacking sufficient monitoring and information transfer to ensure a safe handover.
Innovation Solution
A system that monitors, records, and displays recent events to inform the driver about the vehicle's situation, assesses the driver's reaction time, and customizes information presentation to enhance the handover process, using sensors, image recognition, and passenger monitoring to prioritize key events for safe transition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system provides comprehensive information about recent events to the driver, then the driver's preparedness for handover improves, but the time required for information presentation increases
Solution Approach 1:
The patent segments the comprehensive event information into priority levels (first priority, second priority, third priority events) based on relevance to current driving safety. This allows the system to present only the most critical information during handover, ensuring driver preparedness while minimizing presentation time. The segmentation principle resolves the contradiction by filtering information hierarchically rather than presenting all data equally.
Solution Approach 2:
The system extracts and highlights only the key events that are most relevant to the current driving situation, separating them from less critical information. By taking out only the essential events (such as those affecting immediate safety) and presenting them prominently, the system achieves effective driver briefing without requiring extensive presentation time for all possible events.
2Adaptability or versatility
If the system monitors and analyzes driver reaction time and characteristics, then the personalized information presentation improves, but the system complexity increases
Solution Approach 1:
The system implements feedback mechanisms by monitoring driver reactions to presented information and using this data to adjust future information presentation. The driver monitoring system captures reaction times and behavioral patterns, feeds this information back to the control system, which then adapts the information presentation strategy. This feedback loop enables personalized adaptation without requiring overly complex system architecture, as the feedback is processed iteratively.
Solution Approach 2:
The system performs self-adjustment by automatically adapting information presentation based on monitored driver characteristics without requiring manual configuration. The control system autonomously analyzes driver reaction patterns and modifies the information presentation strategy accordingly, reducing the need for complex external control mechanisms while achieving high adaptability.
3Loss of information
If the system presents detailed event sequences and images to the driver, then the driver's situation awareness improves, but the cognitive load on the driver increases
Solution Approach 1:
The system applies local quality by presenting different levels of information detail in different contexts. For first priority events, the system provides comprehensive details including images and full event sequences. For second and third priority events, the system provides summarized information. This localized adjustment of information quality ensures situation awareness while managing cognitive load by matching information detail to event criticality.
Solution Approach 2:
The system uses partial action by selectively presenting only the necessary portion of event information based on priority classification. Rather than presenting all available information uniformly, the system applies partial presentation strategies appropriate to each event's importance, reducing unnecessary cognitive load while maintaining adequate situation awareness for safe handover.
Data Source
AI summary
Disclosed herein is a vehicle handover system that monitors an environment of a vehicle. The vehicle handover system receives a transition request to change control of the vehicle from an automated driving mode to a passenger of the vehicle. The vehicle handover system detects a key event that may be relevant to the transition request and the detection of the key event is based on the monitored environment. The vehicle handover system may generate a handover scene that includes images associated with the key event, and the images include an image sequence over a time-period of the key event. Before the vehicle handover system changes control of the vehicle from the automated driving mode to the passenger, the handover scene is displayed to the passenger.