Vehicle Voice Command Parsing for Accurate Service Recognition
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Solution Overview
Problem
Current vehicle control systems lack the ability to accurately and efficiently process user commands, particularly in recognizing and responding to diverse formats of user requests, which hinders the provision of convenient and effective vehicle control services.
Innovation Solution
A method and device that updates user requests to be recognizable by applications, involving database searches and format conversions, utilizing a processor with a camera, head-up display, and sensing unit to provide services through intelligent computing, enabling accurate service provision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the vehicle control system uses a simple command recognition method, then the device complexity is reduced, but the measurement precision of user requests deteriorates
Solution Approach 1:
The patent introduces an intermediary processing layer between the user's spoken command and the application execution. This layer includes a command parser that converts speech to text, extracts key objects and intents, and formats them into a standardized structure that applications can understand. This intermediary structure acts as a mediator that bridges the gap between diverse user inputs and standardized application interfaces, improving recognition accuracy without requiring each application to handle all possible input formats directly.
Solution Approach 2:
The command processing system is segmented into multiple independent modules: speech-to-text conversion module, intent recognition module, object extraction module, parameter parsing module, and command assembly module. Each module handles a specific aspect of command processing, allowing the system to achieve high precision through specialized processing at each stage while keeping individual modules relatively simple and manageable.
2Adaptability or versatility
If the vehicle control system processes diverse formats of user requests, then the adaptability improves, but the device complexity increases
Solution Approach 1:
The patent creates a universal command processing framework that can handle multiple types of user requests (navigation, media control, climate control, phone calls, etc.) through a single standardized interface. The framework includes universal structures for representing intents, objects, and parameters that work across different application domains, allowing the system to achieve high adaptability without proportionally increasing complexity. Each application interacts with this universal framework using the same methods, simplifying the overall system architecture.
Solution Approach 2:
The system uses parameter-based command structures where user requests are represented as structured data with defined parameters (intent type, target object, action, parameters). By changing the representation format from unstructured speech to structured parameters, the system can easily adapt to different request types by varying the parameter values and types rather than creating entirely different processing paths, thereby improving versatility without linearly increasing complexity.
3Reliability
If the vehicle control system implements comprehensive command processing, then the service quality improves, but the loss of time in processing increases
Solution Approach 1:
The system performs preliminary processing of user commands by pre-parsing speech into text, pre-identifying key objects and intents, and pre-formatting the command structure before passing it to the specific application. This preliminary action prepares the command in advance in a standardized format, reducing the processing time required by individual applications and improving overall service response time while maintaining comprehensive processing capabilities.
Solution Approach 2:
The patent replaces traditional mechanical command processing approaches with intelligent text and speech processing systems. Instead of relying on rigid keyword matching and predefined command structures, the system uses natural language processing, intent recognition algorithms, and semantic analysis to automatically understand and interpret user requests. This substitution of mechanical processing with intelligent processing enables comprehensive service quality while reducing processing time through more efficient pattern recognition and interpretation.
Data Source
AI summary
Disclosed are a vehicle control method and an intelligent device for controlling a vehicle. A vehicle control method according to an embodiment of the present disclosure comprises: acquiring a user request; updating the user request so as to be recognized by an application providing a service related to the user request, and providing the updated user request to the application; and providing the service through the application. Accordingly, the present invention can accurately and promptly recognize words in various forms, included in a user request, thereby providing a comparatively accurate service in accordance with the user request. One or more of an autonomous driving vehicle and an intelligent computing device of the present disclosure may be linked to an artificial intelligence module, a drone (unmanned aerial vehicle, UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 5G services, and the like.