Autonomous Driving Engagement Based on Driver Frustration
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Solution Overview
Problem
Drivers experiencing frustration due to road, weather, and traffic conditions are more likely to engage in risky behavior, which poses safety concerns, and existing driving assistance systems fail to effectively mitigate these risks by not considering driver frustration levels.
Innovation Solution
A method to determine a driver's frustration level using sensors and assign a frustration index to road segments, allowing engagement of autonomous driving algorithms to improve safety by reducing the driver's burden and promoting safer driving conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous driving algorithms are engaged to improve safety when drivers are frustrated, then safety is improved, but driver control and decision-making authority are reduced
Solution Approach 1:
The system dynamically adjusts the level of autonomous driving engagement based on real-time detection of driver frustration levels. When frustration is detected through sensors (heart rate, breathing rate, steering wheel pressure, braking events), the system automatically engages autonomous driving algorithms to improve safety. This dynamic adaptation resolves the contradiction by allowing driver control when calm but switching to autonomous control when frustration poses safety risks.
2Measurement precision
If driver frustration is monitored using multiple sensors to improve safety detection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system uses multiple sensors that serve both primary vehicle functions and secondary frustration detection functions. For example, the steering wheel pressure sensor primarily measures steering input but also detects frustration through abnormal pressure patterns. The braking system primarily stops the vehicle but also detects frustration through hard braking events. This multi-functionality approach improves measurement precision while minimizing additional device complexity.
Data Source
AI summary
Methods, systems, and apparatuses are described for engaging autonomous driving algorithms based on driver frustration levels and vehicle conditions. A frustration level of a driver of a vehicle may be determined using one or more sensors. Based on a determination that the frustration level satisfies a threshold, one or more automated driving algorithms which may be engaged by the vehicle to improve the safety of the driver may be determined. The threshold may be based on a road segment traveled by the vehicle, the user, or similar considerations. Based on a determination that the frustration level satisfies a threshold, engagement of the one or more automated driving algorithms may be caused.