AR Route Guidance View Switching for Adverse Driving Conditions
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Solution Overview
Problem
Augmented Reality (AR) and Mixed Reality (MR) technologies face challenges in providing accurate route guidance due to environmental obstacles and discrepancies between virtual objects and the real world, especially in adverse weather conditions or complex traffic situations, leading to inaccurate or incomplete information display.
Innovation Solution
A route guidance device and system that integrates AR and MR modules, utilizing sensors and a cloud server to render and control view images based on real-time sensing information, switching between AR and MR views to ensure accurate and comprehensive route guidance, including additional information like POI and bird's-eye views.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If AR technology is used to provide route guidance information based on real-world images, then the driver can intuitively recognize the vehicle and traveling environment, but the route guidance information cannot be accurately identified due to obstacles such as rain, snow, shadows, or vehicles ahead
Solution Approach 1:
The system segments the route guidance information into two distinct display modes: AR view for normal conditions and MR view for adverse conditions. The processor selectively switches between these two segmented modes based on image quality assessment, allowing each mode to specialize in specific operating conditions and thereby resolving the contradiction between intuitive recognition and accurate identification.
Solution Approach 2:
The system introduces an intermediary mechanism (the processor that assesses image quality and switches between AR and MR modes) to mediate between the AR technology and the adverse environmental conditions. This intermediary detects when real-world images become unreliable and transitions to MR technology that does not depend on camera images, thus maintaining accurate route guidance information identification despite obstacles like rain, snow, or shadows.
2Measurement precision
If MR technology is used to provide route guidance information through digitized 3D maps, then information can be provided regardless of real-world image quality, but discrepancy may occur between the graphic object and the real environment due to imperfect 3D map correspondence
Solution Approach 1:
The system dynamically switches between AR and MR technologies based on real-time image quality assessment. When image quality is good, AR is used for high reliability; when image quality deteriorates, MR is activated to maintain accurate route guidance information. This dynamic adaptation resolves the contradiction by allowing each technology to operate in its optimal condition range.
Solution Approach 2:
The system changes the operational parameter (technology mode) from AR to MR based on the quality parameter of the real-world images. By monitoring image quality metrics and switching technology modes accordingly, the system ensures accurate route guidance information is provided while minimizing discrepancies between graphic objects and the real environment.
3Adaptability or versatility
If AR technology is used to display route guidance information, then real-time real-world images can be utilized, but incorrect or incomplete AR objects may be displayed when the real world is complex or image quality is poor
Solution Approach 1:
The system segments the operational conditions into two categories: conditions suitable for AR and conditions suitable for MR. By assessing image quality and selectively applying AR or MR technology, the system ensures that AR objects are only displayed when image quality supports accurate identification, thereby resolving the contradiction between adaptability and precision.
Solution Approach 2:
The system implements a feedback mechanism where the processor continuously assesses image quality and provides feedback to determine whether to use AR or MR technology. This feedback loop ensures that AR technology is only employed when real-time images are of sufficient quality to produce accurate AR objects, preventing incorrect or incomplete displays.
4Measurement precision
If the system switches between AR and MR views based on traveling situation, then accurate and comprehensive route guidance can be provided, but the device complexity increases due to multiple modules and switching mechanisms
Solution Approach 1:
The system implements a universal switching mechanism that can handle both AR and MR technologies through a single integrated processor that assesses image quality and selects the appropriate mode. This multi-functional approach reduces device complexity compared to having separate independent systems for AR and MR, as the same processing unit manages both technologies and the switching logic.
Data Source
AI summary
The present invention provides a route guidance device and a route guidance system. The route guidance device according to an embodiment of the present invention comprises: a communication part that communicates with a cloud server; an interface part that receives, from at least one sensor provided in a vehicle, a camera image including an image of a road on which the vehicle is traveling, and sensing information obtained by sensing a driving state of the vehicle; an MR module that renders MR information including at least one virtual object on the basis of the camera image, the sensing information, and map information received from the cloud server; and a processor that controls the interface part such that an MR view image including the MR information is displayed on a display part of the vehicle, wherein the processor, when a preset condition is satisfied, changes the MR view image to display a scene corresponding to a place at which the vehicle is to travel.