Driver Customization Mode for In-Vehicle Language and ADAS Setup
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Solution Overview
Problem
Drivers of unfamiliar vehicles face challenges in configuring language preferences and advanced driver assist system (ADAS) features, leading to potential safety risks due to frustration and misunderstanding of system behaviors.
Innovation Solution
A vehicular configuration system with a driver personalization mode that prompts drivers to select a language preference and guides them through configuring vehicle settings and ADAS features using interior and exterior cameras, enabling personalized customization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If drivers of unfamiliar vehicles attempt to configure language preferences and ADAS features without guidance, then the configuration process becomes complex and time-consuming, but this leads to frustration and potential safety risks due to misunderstanding of system behaviors
Solution Approach 1:
The system performs preliminary actions by capturing driver facial images and recognizing the driver before configuration begins. It proactively presents language selection and configuration options to the driver, rather than waiting for the driver to navigate complex menus. This preliminary recognition and presentation of options simplifies the subsequent configuration process and reduces the time required.
Solution Approach 2:
The system introduces an intermediary guided configuration mode that mediates between the complex vehicle systems and the driver. This intermediary mode presents simplified language selection and configuration options, translating complex ADAS and infotainment settings into driver-friendly choices, thereby reducing both complexity and configuration time.
2Adaptability or versatility
If the system provides comprehensive configuration options for all vehicle features, then the system becomes highly customizable, but the interface complexity and difficulty of operation increase significantly
Solution Approach 1:
The configuration system is segmented into distinct, manageable stages: driver recognition, language selection, and then specific feature configuration (ADAS, infotainment, comfort). Each stage presents only relevant options rather than overwhelming the driver with all possible settings at once. This segmentation maintains adaptability while reducing perceived complexity.
Solution Approach 2:
The system applies local quality by providing different levels of configuration detail based on the driver's needs and the current context. The guided configuration mode presents simplified, localized options relevant to each configuration category, allowing comprehensive customization without requiring the driver to navigate a uniformly complex interface for all features.
3Extent of automation
If the system uses facial recognition to identify drivers, then personalized configuration can be automatically applied, but this requires additional processing time and computational resources
Solution Approach 1:
The system performs facial recognition as a preliminary action when the driver first enters or starts the vehicle, before any configuration is needed. By completing the identification process upfront, the system can automatically apply personalized configurations without requiring additional processing time during the actual configuration or driving phases.
Solution Approach 2:
The facial recognition system operates autonomously in the background, automatically identifying the driver and retrieving their preferences without requiring manual input or extensive processing during configuration. This self-service approach minimizes the time the driver needs to spend actively engaged in the recognition process.
4Adaptability or versatility
If the system presents multiple language options to drivers, then the system becomes more accessible to diverse users, but the initial setup process becomes more complex
Solution Approach 1:
The system presents language selection as a preliminary option early in the guided configuration process, before the driver needs to navigate complex vehicle settings. By addressing language preference upfront, the system ensures that all subsequent configuration steps and communications occur in the driver's preferred language, simplifying the overall process rather than complicating it.
Solution Approach 2:
The language selection feature acts as an intermediary that adapts the entire configuration interface to the driver's preferred language. This intermediary layer translates complex configuration options into language-appropriate presentations, making the process more accessible without adding complexity, as the complexity is managed through language adaptation rather than interface proliferation.
Data Source
AI summary
A vehicular configuration system includes a camera disposed at a vehicle and viewing interior of the vehicle. An electronic control unit (ECU) includes an image processor operable to process image data captured by the camera and transferred to the ECU. The vehicular configuration system is operable to determine, via processing at the ECU of image data captured by the camera, whether a driver present within the interior cabin of the vehicle has previously driven the vehicle. The vehicular configuration system, responsive to determining that the driver has not previously driven the vehicle, prompts the driver to select a language for the vehicle to use when communicating with the driver. The vehicular configuration system, in response to receiving input from the driver selecting the language, prompts the driver for configuration of a feature of the vehicle using the selected language.


