Vehicle Control System for Driver Assistance Parameter Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing driver assistance systems in vehicles are limited in versatility and flexibility, as their parameters are typically set during offline training and cannot be adapted post-production to match individual driver preferences or changing scenarios.
Innovation Solution
A vehicle control system that acquires sensor data and user feedback through a user interface, allowing the processing unit to adapt parameters of driver assistance systems in real-time based on driver input, enabling online tuning of algorithms to improve system performance and user satisfaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If parameters are set during offline training and frozen before production, then the system achieves stable and reliable performance, but the system loses adaptability to individual driver preferences and changing scenarios
Solution Approach 1:
The patent implements dynamic parameter adjustment by allowing the driver to modify assistance levels and system behaviors in real-time during vehicle operation. The control system transitions from static offline-trained parameters to dynamic user-adjustable parameters, enabling the system to adapt to individual driver preferences while maintaining stable core functionality through the underlying trained model.
2Adaptability or versatility
If offline learning with ground truth information is used to train parameters, then the system can cope with infinite scenarios, but the parameters cannot be updated after production release
Solution Approach 1:
The patent implements a feedback mechanism where driver inputs, corrections, and preferences are continuously collected and used to adjust system parameters. The driver's interactions with the system serve as feedback that triggers parameter retraining and updates, enabling continuous improvement and adaptation after production without requiring complex retraining infrastructure.
Solution Approach 2:
The system enables itself to be retrained and updated using the driver's own inputs and corrections as training data. The driver effectively becomes the source of ground truth information, allowing the system to self-improve and adapt to new scenarios without external intervention or complex manufacturing processes.
3Ease of manufacture
If heuristics are used to treat every single scenario, then the system is simple to implement, but the system is limited to a finite number of scenarios
Solution Approach 1:
The patent implements a universal system that combines offline-trained algorithms capable of handling infinite scenarios with online user feedback mechanisms. The single system serves multiple functions: it processes complex sensor data using trained models while simultaneously adapting to individual driver preferences through user inputs, eliminating the need for separate heuristic rules for each scenario.
Data Source
AI summary
A vehicle control system for a vehicle having a driver assistance system includes sensors configured to acquire data about surroundings of the vehicle, a user interface configured to display user information and acquire user input from a user, and a processing unit coupled to the sensors, the driver assistance system and the user interface. The processing unit is configured to produce and provide adapted parameters to the driver assistance system based on acquired user input about sensor data and/or actions performed by the driver assistance system. In a corresponding method, the parameters are adapted based on the acquired user input.