Vehicle AR Display with Separated Guidance Objects and Context Prediction
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Solution Overview
Problem
Existing augmented reality (AR) driving guidance systems lack intuitiveness and completeness, failing to distinguish AR images from other features and often require experienced drivers, and are limited by relying solely on vehicle sensing data for navigation, lacking integration of network data for diverse driving situations.
Innovation Solution
An AR display device that predicts driving contexts by considering both vehicle sensing data and external network data, using separable and deformable AR objects to provide real-time, intuitive guidance on potential obstacles, collisions, and route changes, including parking and charging information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If AR driving guidance is displayed at a fixed position, then the guidance is simple to implement, but it is difficult to distinguish the AR image from other AR features and provides limited intuitive route guidance
Solution Approach 1:
The AR guidance is divided into multiple separable AR objects including route guidance objects, warning objects, and information objects. Each object can be independently positioned and styled, allowing them to be distributed across different locations on the windshield rather than confined to a single fixed position. This segmentation enables better visual distinction between different types of guidance information while maintaining implementation simplicity.
Solution Approach 2:
The system transitions from two-dimensional flat AR displays to three-dimensional spatial AR objects that can be positioned at different depths and locations on the windshield. AR objects can be placed at varying distances from the driver and at different vertical positions, creating a multi-layered visual hierarchy that improves distinguishability and intuitiveness without complicating the implementation.
2Ease of operation
If AR driving guidance relies solely on vehicle sensing data, then the system is simple to operate, but it is limited in displaying various driving situations and requires experienced drivers
Solution Approach 1:
The system merges multiple data sources including vehicle sensing data, navigation information, and network data into a unified AR guidance system. This combination enables the display of diverse driving situations such as weather conditions, traffic information, and route guidance simultaneously, enhancing adaptability while maintaining ease of operation through integrated processing.
Solution Approach 2:
The AR display system is designed to perform multiple functions by displaying various types of information including route guidance, weather warnings, traffic conditions, and vehicle status all through the same AR interface. This multi-functionality allows the system to adapt to different driving situations without requiring separate systems, maintaining ease of operation while expanding versatility.
3Device complexity
If AR objects are displayed as a unified interface, then the display is simple, but it cannot provide separated and specific driving guide information for different situations
Solution Approach 1:
The unified AR interface is segmented into multiple independent AR objects, each representing specific driving guide information such as route directions, weather warnings, or traffic updates. These segmented objects can be individually positioned, sized, and styled according to their importance and type, preserving specific information while maintaining a relatively simple overall display structure.
Solution Approach 2:
The AR objects are designed to be dynamic and reconfigurable, allowing them to be separated, combined, moved, and resized based on the current driving situation. This dynamic capability enables the display to adapt to different scenarios without requiring a completely different structure, balancing simplicity with information specificity.
Data Source
AI summary
An Augmented Reality (AR) display device interoperating with a vehicle and a method for operating the same are disclosed. An AR display device interoperating with a vehicle according to the present disclosure can predict a context in which a problem may occur by additionally considering an external resource in addition to map data and sensing data as internal resources while the vehicle travels, and display the predicted context by varying an AR graphic interface in real time, thereby intuitively notifying a driver of the predicted context and a countermeasure therefor. At this time, an AR object separated from the AR graphic interface not only displays a guide for the predicted context but also provides a corresponding guide for safe driving in the predicted context.