In-Vehicle AR Content Adaptation for Driving Context Relevance
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Solution Overview
Problem
Current augmented reality (AR) systems for vehicles lack the ability to dynamically adjust and optimize AR services based on the vehicle's situation, such as location and speed, leading to suboptimal information display and user experience.
Innovation Solution
An AR service platform with a server outside the vehicle and an AR service device inside, which collects and processes information to overlay relevant AR content onto the vehicle's camera image, adjusting content based on the vehicle's situation, including location, speed, and user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If AR information is continuously displayed regardless of vehicle situation, then information availability is maintained, but information relevance and user experience deteriorate
Solution Approach 1:
The AR service device dynamically adjusts the type, amount, and presentation of AR information based on real-time vehicle situation parameters including traveling speed, location, and user state. For example, at high speeds only essential navigation information is displayed, while at low speeds more detailed information becomes available, ensuring information remains relevant without sacrificing availability.
Solution Approach 2:
The system changes multiple parameters of AR information delivery simultaneously - adjusting information density, display duration, animation speed, and content type based on vehicle speed, location context, and detected user state, transforming static information display into a dynamic adaptive system.
2Adaptability or versatility
If AR service adapts to vehicle situation, then information relevance improves, but system complexity increases
Solution Approach 1:
The AR service system is segmented into independent functional modules: a situation acquisition module that collects vehicle parameters, a situation determination module that processes this data, and an AR information generation module that creates adaptive content. This modular architecture manages complexity by separating concerns while maintaining overall system adaptability.
Solution Approach 2:
A situation determination module acts as an intermediary between raw vehicle data and AR information generation, processing and interpreting vehicle situation parameters to determine appropriate AR content. This intermediary layer simplifies the overall system by centralizing the adaptation logic in a dedicated component.
3Ease of operation
If AR content is customized based on user state, then user experience improves, but processing requirements increase
Solution Approach 1:
The system implements partial customization by focusing on a limited set of key user state parameters such as attention level and fatigue detection rather than analyzing all possible user metrics. This selective approach provides meaningful personalization while keeping processing requirements manageable through targeted monitoring of the most impactful user states.
Data Source
AI summary
The present invention provides an AR service platform for providing an AR service. The AR service platform, according to an embodiment of the present invention, comprises: a server which is provided outside a vehicle, collects and processes information required for an AR service, and transmits the information to the vehicle; and an AR service device which is provided in the vehicle and provides the AR service by using the information transmitted from the server, wherein the AR service device varies information provided as the AR service on the basis of the condition of the vehicle.