Adaptive Emergency Brake and Steer Assist Based on Driver Focus
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current driver assistance systems in vehicles rely on external sensors and vehicle dynamics data, but they do not effectively account for the driver's attentiveness, which can lead to inadequate warning timing and response in collision avoidance scenarios.
Innovation Solution
A driver analyzer, such as a camera, is integrated into the vehicle to determine the driver's level of attentiveness by analyzing facial features and focus direction, allowing the controller to adapt the response of the driver assistance system, including adjusting warning points and vehicle reactions based on the driver's attention level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If driver assistance systems rely only on external sensors and vehicle dynamics data, then the system complexity is reduced, but the system cannot accurately assess driver attentiveness leading to inadequate warning timing
Solution Approach 1:
The patent combines external sensor data with internal driver monitoring data from cameras and sensors into a unified driver assistance system. This integration allows the system to assess both external collision risks and internal driver attentiveness, resolving the contradiction by merging multiple data sources to achieve comprehensive situational awareness without excessive complexity.
Solution Approach 2:
The system introduces a driver state monitor as an intermediary component that processes driver attentiveness data and translates it into actionable warnings. This mediator layer enables accurate driver assessment while maintaining manageable system complexity by creating a dedicated subsystem for driver monitoring that interfaces with the existing external sensor framework.
2Reliability
If the driver assistance system provides frequent warnings to ensure safety, then collision avoidance improves, but unnecessary alerts increase causing driver annoyance
Solution Approach 1:
The warning system dynamically adjusts its behavior based on real-time driver attentiveness assessment. When the driver is attentive, the system provides standard warnings; when inattentive, it intensifies warnings or activates additional safety measures. This dynamic adaptation ensures reliable collision avoidance while reducing unnecessary alerts during periods of high driver attention.
Solution Approach 2:
The system implements feedback loops where driver responses to warnings are monitored and used to adjust future warning behavior. If drivers consistently respond appropriately to warnings, the system can reduce alert frequency; if responses are inadequate, the system intensifies warnings. This feedback mechanism balances collision avoidance reliability with reduction of unnecessary alerts.
Data Source
AI summary
An automotive vehicle includes a driver analyzer and a driver assistance system, both of which are coupled to a controller. The controller includes a non-transitory storage medium storing instructions for causing the controller to determine a level of attentiveness of a driver of the automotive vehicle and to adapt a response of the driver assistance system in response to the determined level of attentiveness.