Vehicle Language Detection for Non-Responsive Driver Prompts
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Solution Overview
Problem
Vehicles with assisted driving features often have speech functions programmed in a predetermined language that may differ from the driver's primary language, leading to potential communication barriers and reduced responsiveness, especially in non-responsive scenarios.
Innovation Solution
A language detection system integrated with a vehicle's processor and server, which monitors spoken language within the cabin, estimates driver state, and provides adaptive language translation and assistance through in-vehicle training or third-party communication services to enhance communication with the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the speech function is programmed using a predetermined language, then the system can provide automated driving assistance, but the driver may not understand the prompts if the language differs from their primary language
Solution Approach 1:
The system dynamically adapts the language of vehicle prompts based on real-time detection of the driver's spoken language. The language monitoring module continuously analyzes the driver's speech, and the controller adjusts the prompt language accordingly, transforming a static predetermined language system into a dynamic multi-language system that adapts to the driver's needs.
Solution Approach 2:
The language monitoring module acts as an intermediary between the driver's natural speech and the vehicle's control system. It detects the driver's spoken language and translates this information into language selection signals that the controller uses to adjust prompt language, enabling indirect communication between the driver and vehicle systems.
2Ease of operation
If the system continuously monitors language and provides translation, then communication effectiveness improves, but system complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary language detection and analysis before the driver needs to respond to prompts. By proactively identifying the driver's language preference through monitoring their speech, the system prepares the appropriate language settings in advance, ensuring seamless communication without adding complexity to the real-time interaction.
Solution Approach 2:
The system uses the driver's own speech as the source for language detection, eliminating the need for separate language selection interfaces or manual input. The driver's natural conversation with the system or other occupants automatically provides the language information needed, making the system self-configuring and reducing operational complexity.
Data Source
AI summary
A language detection system includes data processing hardware and memory hardware in communication with the data processing hardware. The memory hardware stores instructions that when executed on the data processing hardware cause the data processing hardware to perform operations. The operations include issuing a vehicle prompt and determining responsiveness to the issued vehicle prompt, the responsiveness including an execution response and anon-responsive response. A language monitoring module is activated in response to the non-responsive response of the determined responsiveness and a spoken language is monitored within an interior cabin of a vehicle. A driver state is estimated based on the determined language, and a translation function is executed using a translation module in response to the estimated driver state.