Driver Assistance Control With Personalized Intervention Thresholds
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing driver assistance systems in motor vehicles often intervene too early or too late in critical driving situations, disrupting the driver's intended maneuvers and affecting the vehicle's control, leading to reduced acceptance and safety issues due to varying driver characteristics and preferences.
Innovation Solution
A driver assistance system that evaluates driver characteristic data to determine a personalized limit range and intervenes only when necessary, allowing for proactive and autonomous control in critical situations while ensuring seamless continuation of driving operations, with temporary autonomous control switching back to driver control when safe.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driver assistance system intervenes early in critical driving situations, then safety is improved, but the driver's freedom of action and acceptance are reduced
Solution Approach 1:
The system dynamically adjusts the intervention threshold parameter based on driver characteristics. For sporty drivers with high driving skills, the intervention threshold is set higher (later intervention), while for less experienced drivers, the threshold is lower (earlier intervention). This parameter adaptation resolves the contradiction by tailoring the safety intervention timing to individual driver capabilities.
Solution Approach 2:
The intervention threshold is not fixed but dynamically adapted based on evaluated driver characteristics such as driving skill level, aggressiveness, and experience. The system transitions from a static threshold to a dynamic one that adjusts according to the driver's profile, allowing optimal balance between safety and driver freedom for each individual.
2Ease of operation
If the driver assistance system intervenes late in critical driving situations, then the driver's freedom of action is preserved, but safety is reduced
Solution Approach 1:
The system modifies the intervention timing parameter based on driver characteristics. For drivers with demonstrated high skill levels, the intervention occurs later preserving their freedom of action, while for less skilled drivers, intervention occurs earlier to ensure safety. This parameter customization resolves the contradiction.
Solution Approach 2:
The intervention threshold transitions from a fixed late intervention point to a dynamic threshold that adapts to individual driver capabilities. This allows the system to preserve driver freedom for competent drivers while ensuring safety for those who need earlier intervention.
3Device complexity
If the driver assistance system uses fixed intervention thresholds, then system complexity is reduced, but adaptability to different driver characteristics is reduced
Solution Approach 1:
The system implements dynamic threshold adaptation based on driver characteristics evaluation. Instead of fixed thresholds, the intervention points are dynamically determined according to the driver's skill level, driving style, and experience, significantly improving adaptability.
Solution Approach 2:
The system performs preliminary evaluation of driver characteristics before determining intervention thresholds. By assessing driver skills, driving style, and experience in advance, the system pre-configures appropriate intervention parameters, enabling adaptability without requiring complex real-time adjustments during critical situations.
4Adaptability or versatility
If the driver assistance system evaluates driver characteristic data and determines personalized limit ranges, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system performs driver characteristic evaluation and limit range determination in advance, before critical situations occur. This preliminary action stores personalized parameters that are then applied during critical moments, achieving high adaptability without requiring complex real-time processing during emergencies.
Solution Approach 2:
The system implements dynamic threshold adaptation based on driver characteristics evaluation. Instead of fixed thresholds, the intervention points are dynamically determined according to the driver's skill level, driving style, and experience, significantly improving adaptability.
Data Source
Figure 1~2
Figure 3
Figure 4
AI summary
Motor vehicle comprising at least one driver assistance system (2) for predicting forecast data about at least one future driving situation of the motor vehicle (1) by evaluating ego data relating to the motor vehicle (1) and environmental data relating to the motor vehicle environment, wherein the motor vehicle (1) is controllable by a driver in a first operating mode of the driver assistance system (2), wherein the driver assistance system (2) is configured to temporarily switch to a second operating mode upon fulfillment of a trigger condition or at least one trigger condition of several trigger conditions, in which the control of the motor vehicle (1) is carried out autonomously by the driver assistance system (2) without the possibility of intervention by the driver, wherein the trigger condition is configured to evaluate at least the forecast data and at least one driver characteristic data describing a driver characteristic.