Generative AI Vehicle Telemetry Character Animation
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Solution Overview
Problem
Conventional systems fail to provide interactive digital experiences that are relevant to specific users during driving or traveling, lacking the capability to effectively integrate user preferences and vehicle telemetry data.
Innovation Solution
The system animates a character, such as the GearGaurd Yeti, on a vehicle's display screen or user device, using generative AI and text-to-speech software. It applies style transfer, animation, and chat features, generating visuals and interactions based on vehicle telemetry, drive mode, and drive profile.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional systems are used, then system simplicity is maintained, but user interaction relevance and personalization are insufficient
Solution Approach 1:
The patent introduces an intermediary AI agent (the Yeti character) that mediates between the vehicle's telemetry data and the user interface. This agent processes vehicle data (location, weather, media consumption) and translates it into personalized visual representations and interactions, resolving the contradiction by adding a specialized intermediary layer that enhances relevance without requiring complete system redesign
Solution Approach 2:
The system creates a virtual copy of the Yeti character that can be dynamically rendered in different appearances based on vehicle telemetry data. Instead of modifying the core system architecture, the patent uses generative AI to create multiple visual copies of the same character based on different conditions (seasonal themes, media content, weather), thereby improving adaptability while maintaining system structure
2Ease of operation
If static character representations are used, then rendering simplicity is maintained, but user engagement and interactivity are limited
Solution Approach 1:
The patent transforms the static Yeti character into a dynamic representation that changes appearance and behavior based on real-time vehicle telemetry data. The character's visual properties (appearance, motion, sound) are dynamically adjusted according to conditions such as season, weather, and media consumption patterns, thereby enhancing user engagement while using efficient generative AI models to maintain rendering performance
Solution Approach 2:
The system performs preliminary generation of character variations based on predicted conditions and stores them for quick retrieval. By pre-generating and caching potential character appearances based on historical data and patterns, the system reduces real-time computation requirements and speeds up animation rendering while maintaining high user engagement through personalized interactions
3Adaptability or versatility
If personalized content is generated for each user, then user relevance is improved, but data processing requirements increase
Solution Approach 1:
The patent merges multiple data sources (vehicle telemetry, media consumption patterns, environmental data) into a unified representation that drives character generation. By combining these data types into a single processing pipeline that feeds into the generative AI model, the system achieves comprehensive personalization while optimizing energy efficiency through integrated data processing rather than separate analysis of each data type
Data Source
AI summary
Aspects of this technical solution can apply a text prompt and at least one of vehicle information, drive mode, or drive profile to a machine learning model to generate at least one of an appearance, motion, or sound of an object, and cause a user interface to present the object.