Augmented Reality Mirror Superimposing Road Model Data
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Solution Overview
Problem
Drivers face difficulties in assessing driving situations, especially on multi-lane roads during darkness or unfavorable conditions, as they struggle to determine the position of other road users and road markings, which is crucial for safe lane changes and overtaking maneuvers.
Innovation Solution
A device that superimposes road model information, including road markings, onto the visual representation of the surrounding region using sensors and augmented reality, allowing for better visibility and estimation of vehicle positions relative to traffic lanes, utilizing a combination of imaging components like rear-view mirrors or cameras with displays, and lane-keeping assistant data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional rear-view mirrors are used for visual representation of the surrounding region, then the device complexity is low, but the measurement precision of road markings and vehicle positions deteriorates under unfavorable visual conditions
Solution Approach 1:
The patent combines multiple information sources (sensor data from lane-keeping assistants, object detection devices, and visual representation from mirrors or cameras) into a single augmented reality display. This merging allows the system to overcome the limitations of individual components and achieve accurate position detection even under unfavorable visual conditions while maintaining reasonable device complexity through integration of existing vehicle systems.
Solution Approach 2:
The patent introduces a road model as an intermediary element that mediates between raw sensor data and the final visual representation. The road model processes and structures information about road markings and vehicle positions, enabling accurate spatial relationships to be established and displayed. This intermediary layer enhances measurement precision by providing a structured framework for interpreting sensor data.
2Loss of information
If augmented reality representation with superimposed road model information is implemented, then the loss of information about road markings and vehicle positions is reduced, but the device complexity increases
Solution Approach 1:
The patent makes existing vehicle systems multi-functional by enabling them to serve both their original purposes and new augmented reality functions. For example, lane-keeping assistant sensors not only maintain lane position but also provide data for the augmented reality display. This universality reduces the need for additional dedicated components, thereby limiting the increase in device complexity while maximizing information completeness.
Solution Approach 2:
The system performs preliminary processing of sensor data to create the road model before the actual visualization occurs. By pre-structuring the spatial relationships and road marking positions in advance, the system ensures that when the augmented reality display is generated, all necessary information is already organized and ready for accurate representation. This preliminary action prevents information loss while managing computational complexity efficiently.
3Measurement precision
If sensors and augmented reality displays are added to improve visibility of road markings, then the measurement precision of road course is improved, but the ease of operation deteriorates due to additional system complexity
Solution Approach 1:
The augmented reality system is designed to be self-calibrating and self-adjusting. The road model automatically adapts to the vehicle's position and the display automatically adjusts to the driver's viewpoint. This self-service capability eliminates the need for manual calibration or adjustment by the driver, maintaining ease of operation despite the advanced technology. The system handles its own complexity internally while presenting a simple interface to the user.
Data Source
AI summary
A device is provided for the expanded representation of a surrounding region of a vehicle, the device having an imaging component for the visual representation of the surrounding region. Information from a road model is additionally able to be superimposed on the visual representation of the surrounding region.