Vehicle Virtual Avatar Generation for Personalized User Interaction
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Solution Overview
Problem
Current virtual avatars in vehicles are of a single type and fail to meet the personalized needs of users, lacking personalization and user experience enhancement.
Innovation Solution
A virtual avatar generation method and apparatus for a vehicle's central control system that acquires user-defined materials and preference information to generate customized avatars through various generation modes, including environmental, geographical, facial, and user-defined inputs, using a target model to create avatars tailored to user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single type of virtual avatar is used in the vehicle, then the device complexity is reduced and ease of manufacture is improved, but the adaptability to user preferences and personalization capability deteriorate
Solution Approach 1:
The virtual avatar system transitions from a static single-type design to a dynamic multi-mode generation system. The system dynamically selects different generation modes (first mode using reference images and environmental information, second mode using facial recognition) based on user preferences and contextual factors, enabling the avatar to adapt its characteristics while maintaining a unified system architecture.
Solution Approach 2:
The system changes key parameters of the virtual avatar by extracting different types of information based on the generation mode. In the first mode, it extracts environmental information and user preferences to generate avatars with specific characteristics. In the second mode, it extracts facial features from captured images to generate avatars with realistic human-like attributes. These parameter changes enable personalization without requiring completely separate systems.
2Adaptability or versatility
If multiple generation modes are implemented to meet personalized needs, then adaptability and user experience are improved, but the device complexity and difficulty of operation increase
Solution Approach 1:
The system automatically determines which generation mode to use and executes the appropriate avatar generation process without requiring users to manually configure complex parameters. The control system autonomously selects between the first generation mode (using reference images and environmental data) and the second generation mode (using facial recognition), making the system easy to operate while maintaining high personalization capability.
Solution Approach 2:
The virtual avatar generation system is designed with multi-functionality to handle different generation modes through a unified platform. The same control system can process both reference image-based generation and facial recognition-based generation, as well as integrate environmental information and user preferences, thereby achieving universal applicability across different personalization scenarios without requiring separate systems for each function.
3Adaptability or versatility
If virtual avatars are generated based on collected face images, then personalization and user experience are enhanced, but the loss of time for image processing and avatar generation increases
Solution Approach 1:
The system performs preliminary actions by capturing and processing facial images in advance during normal vehicle operation. The image capture device continuously or periodically captures facial images, and the control system pre-processes these images to extract facial features and store them for future avatar generation. This preliminary processing reduces the time required when actual avatar generation is needed, as the feature extraction and initial processing have already been completed.
Data Source
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AI summary
The present disclosure provides a virtual avatar generation method, apparatus, device, and storage medium, relating to the field of image processing technologies. The virtual avatar generation method provided by the present disclosure includes: according to a generation mode of a virtual avatar set by a user, acquiring a material corresponding to the generation mode; according to preference information of the user and in combination with key information extracted from the material, generating description information of the virtual avatar; and generating the virtual avatar by inputting the description information of the virtual avatar into a target model corresponding to a target style indicated by the description information.