Driver Assistance Intervention Based on Occupant Attention Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing driver assistance systems, such as brake assist systems, are limited in their ability to intervene in dangerous situations unless the driver can no longer react in time, leading to unsatisfactory outcomes in various road scenarios.
Innovation Solution
A method and system that monitor the attention state of vehicle occupants using multiple sensors to detect attention levels, allowing early intervention by adjusting trigger thresholds or activating/deactivating assistance systems based on gaze direction, head and body posture, and environmental awareness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driver assistance system waits to ensure the driver cannot intervene in time before activating intervention, then the system avoids false positives and maintains driver control, but the intervention occurs too late to effectively prevent accidents in many dangerous situations
Solution Approach 1:
The system performs preliminary assessment of driver attention state using sensor data (camera, microphone, posture sensors) before a dangerous situation fully develops. When inattention is detected, the system prepares for potential intervention in advance, allowing it to act immediately when danger arises rather than waiting for driver unresponsiveness to be confirmed
Solution Approach 2:
The system continuously monitors driver state through multiple sensors and uses this feedback to dynamically adjust intervention timing. The feedback loop provides real-time information about driver attention levels, enabling the system to determine the optimal moment for intervention based on actual driver state rather than fixed time delays
2Ease of operation
If the driver assistance system activates only when driver reaction is deemed insufficient, then the system maintains driver autonomy and reduces unnecessary interventions, but it fails to provide timely assistance in situations where early intervention could prevent accidents
Solution Approach 1:
The system dynamically adjusts the level of driver assistance based on real-time assessment of driver attention state. When the driver is attentive, the system maintains minimal intervention. When inattention is detected, the system progressively increases assistance level, allowing smooth transition from driver-controlled to system-controlled intervention based on actual driver needs
3Measurement precision
If multiple sensors are used to monitor driver attention state, then the system achieves more accurate and reliable detection of inattention, but the device complexity and cost increase
Solution Approach 1:
The system uses a multi-functional sensor suite where each sensor serves multiple purposes. For example, the camera monitors both driver facial expressions and eye direction, while posture sensors detect both seating position and signs of drowsiness. This multi-functionality allows accurate attention assessment without proportionally increasing system complexity
Solution Approach 2:
The system combines data from multiple sensors through data fusion techniques, merging information from cameras, microphones, and posture sensors into a unified assessment of driver attention state. This integration approach achieves high measurement precision while managing complexity through centralized processing rather than separate independent systems
Data Source
Figure 1~2
Figure 3~6
Figure 7a~7b
AI summary
The present invention relates to a method for influencing at least one driver assistance system of a motor vehicle, to a device for carrying out the steps of this method and to a system comprising such a device. The invention also relates to a motor vehicle comprising such a device or such a system.