ADAS Parameter Interface With Linked Visual Configuration Feedback
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Solution Overview
Problem
The complexity of advanced driver-assistance systems (ADAS) and autonomous driving (AD) features in vehicles leads to an overwhelming number of user-adjustable parameters, making it difficult for drivers to configure settings intuitively and efficiently, which can result in distraction and reduced user experience.
Innovation Solution
A method for controlling AD/ADAS configurations using a user interface with graphical representations of adjustable parameters, allowing drivers to input changes to one parameter while automatically updating related parameters based on predefined functions, providing real-time feedback and adjusting boundaries or settings to enhance user-friendliness and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of ADAS features and adjustable parameters is increased to improve functionality, then the system provides more comprehensive driver support, but the user interface complexity increases and becomes overwhelming for the driver
Solution Approach 1:
The user interface is segmented into multiple interaction modes (graphical visualization mode, parameter adjustment mode, profile selection mode) that divide the complex configuration task into manageable steps. Each mode presents only the necessary information and controls for that specific task, preventing information overload while maintaining access to comprehensive ADAS functionality.
Solution Approach 2:
The patent introduces a graphical visualization dimension that represents multiple parameters simultaneously in spatial form. Instead of presenting parameters as isolated text fields or menus, the system uses graphical elements (such as vehicle models, parameter sliders, and relationship diagrams) to display parameter interactions, allowing drivers to comprehend complex relationships at a glance.
2Adaptability or versatility
If multiple user-adjustable parameters are provided to allow comprehensive configuration, then the system can be customized to individual preferences, but the cognitive burden on the driver increases and may cause distraction
Solution Approach 1:
The system provides real-time feedback when parameters are adjusted, showing immediately how changing one parameter affects related parameters and the overall driving behavior. This feedback mechanism helps drivers understand the consequences of their adjustments without needing to mentally calculate complex interactions, reducing cognitive burden while maintaining customization capability.
Solution Approach 2:
The system offers pre-configured driver profiles that contain optimized parameter sets for different driving styles and conditions. Drivers can select from these pre-prepared configurations (e.g., aggressive, conservative, eco-friendly profiles) without having to manually adjust each parameter, significantly reducing the cognitive effort required while still providing access to comprehensive customization when needed.
3Loss of information
If detailed information about ADAS parameters is displayed to the driver, then the driver can make informed configuration decisions, but driver distraction increases and safety is compromised
Solution Approach 1:
The user interface applies local quality by presenting different levels of information detail in different areas and contexts. Critical safety-related parameters are displayed with high visibility and simple controls, while less critical parameters are shown with reduced prominence or only when explicitly requested. The interface adapts the amount and type of information displayed based on the current driving context and phase of parameter adjustment.
Solution Approach 2:
The system uses periodic updates and progressive disclosure of information rather than displaying all parameters simultaneously. Information is presented in sequences or batches as the driver navigates through configuration steps, allowing the driver to process information at a manageable pace without being overwhelmed by continuous streams of data that would cause distraction.
Data Source
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AI summary
The present disclosure relates to a method for controlling an autonomous driving configuration or driving assistance configuration comprising at least two adjustable parameters. The method comprises, at an electronic device with a display, displaying on the display a user interface. The user interface comprises a graphical representation of a current setting of the at least two adjustable parameters associated with the autonomous driving configuration or driving assistance configuration. The method further comprises detecting via one or more input devices, a user input directed towards a first adjustable parameter of the at least two adjustable parameters, and updating the graphical representation on the display based on the detected user input. More specifically, the updating of the graphical representation is done by modifying the current setting of the first parameter of the at least two adjustable parameters and modifying at least one characteristic of a second adjustable parameter of the at least two adjustable parameters based on the detected user input. The disclosure also relates to a corresponding computer program product, control device and vehicle comprising such a control device.