In-Vehicle Avatar Processing Using Segmented Data Streams
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional avatar processing methods struggle to generate and output avatars in vehicle environments where external changes are limited, making it difficult to apply general avatar technologies effectively during driving situations.
Innovation Solution
An in-vehicle avatar processing apparatus and method that generates first avatar data including a vehicle external image and second avatar data based on internal or external vehicle information, combining these to create an avatar animation for output, utilizing a transmission side device and a reception side device for vehicle-to-vehicle communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional avatar processing methods are used in vehicle environments, then avatar generation is simple, but the avatar cannot reflect driving situations or vehicle conditions
Solution Approach 1:
The avatar generation system is divided into two independent data streams: first avatar data from video input (external appearance) and second avatar data from vehicle information (driving situation). These segmented data sources are processed separately and then combined, allowing the system to maintain simplicity in individual components while achieving high adaptability in the final avatar output.
Solution Approach 2:
The system integrates multiple data sources (video camera, vehicle sensors, navigation system) into a unified avatar generation platform. This multi-functional approach allows the same system to process both external appearance data and internal vehicle state data, making the avatar adaptable to various driving situations without requiring separate specialized systems.
2Loss of information
If only video input data is used for avatar generation, then the system is simple, but the avatar cannot convey vehicle condition information
Solution Approach 1:
The system merges two distinct data types: visual avatar data from video input and contextual vehicle data from sensors and navigation systems. By combining these data streams in the avatar generation process, the system preserves complete information about both external appearance and vehicle conditions, eliminating information loss without creating overly complex processing requirements.
3Loss of information
If avatar data is transmitted between vehicles, then information sharing is improved, but communication overhead increases
Solution Approach 1:
Instead of transmitting raw sensor data or video streams between vehicles, the system generates compressed avatar representations that copy only the essential visual and contextual information. This copying approach enables effective information sharing while minimizing communication overhead and energy consumption, as the avatar data is much smaller than the original multi-source inputs.
Data Source
AI summary
An in-vehicle avatar processing apparatus and a method of controlling the same, for generating and outputting an avatar in consideration of a driving situation as well as an external appearance of a vehicle, may include generating first avatar data including at least a vehicle external image by a transmission side device included in a first vehicle, generating second avatar data based on information pertaining to an inside or an outside of a vehicle, by the transmission side device, generating avatar animation by combining the first avatar data and the second avatar data, and outputting the generated avatar animation through an output unit of a reception side device.