Driver Assistance Filtering Based on Skill Rating and Trajectory
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Solution Overview
Problem
High-performance sports cars are underutilized on public roads due to speed limits, and inexperienced drivers struggle to optimize performance and safety while driving, as existing driver assistance systems often interfere with the driving experience and cannot account for future path dynamics.
Innovation Solution
A method for performance-enhancing driver assistance using a road vehicle equipped with localization, ADAS sensors, a control system, and an interface to optimize a cost function like time or fuel consumption by calculating an optimal trajectory and suggesting corrective actions to the driver, while also ensuring safety through actuator devices that can autonomously control the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If electronic driver assistance devices continuously intervene to prevent dangerous driving, then safety is improved, but driving pleasure and performance enjoyment are reduced
Solution Approach 1:
The system dynamically adjusts the level of assistance based on detected driver skill level. For inexperienced drivers, more intensive assistance is provided to ensure safety, while for experienced drivers, the assistance is reduced or deactivated to preserve driving pleasure and performance enjoyment.
Solution Approach 2:
The system changes the parameter of assistance intensity based on the driver's skill level. By evaluating driver performance and adjusting the assistance level accordingly, the system optimizes both safety and driving experience for different user profiles.
2Productivity
If driver assistance systems provide continuous informative messages to help optimize performance, then performance optimization is improved, but driver frustration increases due to excessive information
Solution Approach 1:
The system provides different levels and types of information to different drivers based on their skill level. Inexperienced drivers receive more detailed guidance, while experienced drivers receive minimal or no information, tailoring the information quality to the specific user needs.
Solution Approach 2:
The system applies partial action by providing only the necessary amount of information for each driver. Rather than continuously informing all drivers with the same level of detail, it delivers information proportionally to the driver's skill level and needs.
3Reliability
If driver assistance systems provide detailed guidance to inexperienced drivers, then safety is improved, but the driver's ability to understand actual car limits and learn is reduced
Solution Approach 1:
The system provides preliminary guidance to inexperienced drivers to ensure safe operation, but as the driver gains experience, the assistance is gradually reduced, allowing the driver to independently understand and explore the car's limits in a controlled manner.
Solution Approach 2:
The assistance is applied periodically or phase-wise, with intensive guidance for inexperienced drivers and reduced guidance as the driver gains experience. This periodic adjustment allows drivers to learn progressively while maintaining safety.
4Speed
If the vehicle delivers informative messages based on current and past dynamic state, then real-time assistance is improved, but the ability to optimize future mission performance is reduced
Solution Approach 1:
The system calculates and communicates the optimal complete trajectory in advance, allowing the driver to plan ahead and optimize future performance. Rather than only reacting to current conditions, the driver receives guidance on the optimal path forward, improving overall mission efficiency.
Data Source
AI summary
A method for the performance-enhancing driver assistance of a road vehicle driven by a driver. The method comprises the steps of detecting a plurality of dynamic data (DD) of the vehicle by means of a control system, suggesting to the driver, by means of an interface device and depending on the plurality of dynamic data, one or more corrective actions to be carried out in order to accomplish a mission optimizing a cost function, and estimating the driving ability of the driver in order to obtain a driver rating value, based on which the corrective actions to be suggested are to be changed.


