Adaptive Driver Assistance for Motorcycles Using Dynamic Profiles
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Solution Overview
Problem
Existing driver assistance systems for two-wheeled vehicles, such as motorcycles, react uniformly to all drivers and conditions, failing to account for individual driving styles and road conditions, which can lead to ineffective interventions in emergency situations.
Innovation Solution
A method and apparatus that utilize a driver-specific driving-dynamics profile, based on past driving habits and instantaneous sensor data, to tailor interventions in a two-wheeled vehicle's brake system, adjusting brake pressure and intervention thresholds dynamically according to the driver's profile and current road conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed threshold values are used for driver assistance system interventions, then the system responds consistently and predictably, but it fails to account for individual driving styles and road conditions, reducing effectiveness
Solution Approach 1:
The patent implements dynamic threshold values that adapt to the driver's individual style and current road conditions. The system continuously learns from the driver's behavior patterns and adjusts intervention thresholds accordingly, rather than using fixed predetermined values. This allows the driver assistance system to maintain reliability while becoming adaptable to individual drivers and varying road conditions.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor the driver's responses to interventions and continuously refine the driving-dynamics profile. By analyzing the driver's behavior patterns over time and adjusting thresholds based on this feedback, the system achieves both consistency in response and adaptation to individual driving styles.
2Adaptability or versatility
If driver assistance systems intervene based on uniform thresholds, then the system structure remains simple, but it cannot personalize interventions to match individual driver expectations and styles
Solution Approach 1:
The system automatically generates and updates the driving-dynamics profile without requiring manual configuration or complex setup procedures. It self-adjusts to the driver's behavior patterns through continuous monitoring and learning, achieving personalization while keeping the user interface simple and the system易于操作.
Solution Approach 2:
The patent changes the threshold parameters dynamically based on the driver's behavior patterns and road conditions. By adjusting these parameters automatically through the learning algorithm, the system achieves personalization without requiring complex manual configuration or increasing operational complexity for the user.
3Measurement precision
If the system uses detailed driver-specific profiles and dynamic thresholds, then intervention precision improves, but the computational requirements and processing time increase
Solution Approach 1:
The system performs preliminary learning and profile generation during normal driving operations, so that when emergency situations occur, the intervention thresholds are already optimized and ready for immediate application. This preliminary action during non-critical periods reduces processing time requirements during actual emergency interventions.
Solution Approach 2:
The system focuses computational resources on the most critical parameters and driving scenarios, implementing partial monitoring and profiling for less critical situations. This selective approach maintains high intervention precision for emergency situations while reducing overall computational burden and processing time requirements.
Data Source
AI summary
A method for operating a driver assistance system for a two-wheeled vehicle, which is characterized in that in an intervention step, the driver assistance system intervenes as a function of a driver-specific driving-dynamics profile and an instantaneous driving state, the driving-dynamics profile reflecting a relationship between inclined-position values at which a driver of the two-wheeled vehicle drove in the past and acceleration values at which he drove at the same time, and the driving state being characterized by an instantaneously acquired acceleration value and an instantaneously acquired inclined-position value.