Hybrid Driving Mode Switching Based on Driver State Risk
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for autonomous and hybrid vehicles lack effective mechanisms for safe mode switching between autonomous and manual driving modes, particularly in situations where driver attention or health may pose risks, and do not adequately address the challenge of switching from manual to autonomous modes.
Innovation Solution
A system utilizing real-time data processing to evaluate risks associated with current driving modes and driver states, determining when to switch between modes based on risk models, and executing mode changes through a risk evaluator, switch determiner, and executor components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual switching between autonomous and manual driving modes is implemented, then the system structure is simple, but safety risks increase when driver attention or health deteriorates
Solution Approach 1:
The system performs preliminary assessment of driver state (attention level, health status) before allowing mode switching to occur. This prevents switching when the driver is unfit to take control, thereby improving safety without requiring complex additional hardware
Solution Approach 2:
The system continuously monitors driver state and provides feedback to the control system, enabling dynamic adjustment of switching permissions based on real-time driver conditions. This feedback mechanism ensures safety while maintaining relatively simple system architecture
2Reliability
If automatic switching from autonomous to manual mode is implemented without driver state assessment, then switching speed is fast, but safety decreases when driver is in poor condition
Solution Approach 1:
The system continuously pre-assesses driver state in advance before switching is needed, so that when switching becomes necessary, the assessment is already complete and switching can proceed immediately without delay
Solution Approach 2:
Driver state monitoring operates continuously throughout autonomous driving, maintaining an up-to-date assessment of driver readiness without interrupting the autonomous driving function or adding significant time overhead
3Reliability
If driver state monitoring is added to the switching system, then safety improves, but device complexity increases
Solution Approach 1:
The system uses multi-functional sensors that can detect multiple driver states (attention, health, readiness) simultaneously, reducing the number of separate components needed while comprehensive safety assessment
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The present teaching relates to method, system, and medium, for operating a vehicle. Real-time data related to the vehicle are received. A current mode of operation of the vehicle and a state of the driver present in the vehicle are determined. A first risk associated with the current mode of operation of the vehicle is evaluated based on the real-time data and the state of the driver in accordance with a risk model. In response to the first risk satisfying a first criterion, a second risk associated with switching the current mode to a different mode of operation of the vehicle is determined based on the state of the driver. The vehicle is switched from the current mode to the different mode when the second risk satisfies a second criterion.