AR Road Map Overlays Aligned to the Driver's Field of View
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Solution Overview
Problem
Conventional in-vehicle displays for presenting Roadbook Map features do not consider a driver's specific field of view (FoV), leading to ineffective information presentation in augmented reality (AR) views of road maps and features.
Innovation Solution
The system uses AV map data and sensors to track the vehicle's and occupant's FoV, generating AR display frames that align graphical representations of road objects and features with the occupant's FoV, ensuring accurate and relevant information presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional in-vehicle displays are used to present Roadbook Map features, then the system is simple and easy to implement, but the information presentation does not align with the driver's field of view and is therefore ineffective
Solution Approach 1:
The display system transitions from static conventional displays to dynamic augmented reality displays that continuously adjust the position and orientation of graphical representations based on real-time tracking of the driver's head position and vehicle motion, ensuring alignment with the driver's field of view
Solution Approach 2:
The system implements feedback loops using sensors (cameras, gyroscopes, accelerometers) to continuously monitor the driver's head position, vehicle motion, and road features, then adjusts the AR display accordingly to maintain accurate alignment with the driver's field of view
2Ease of operation
If AR display frames are generated to align with occupant's FoV using sensor tracking, then the information presentation becomes accurate and user-centric, but the computational requirements and processing time increase
Solution Approach 1:
The system pre-calculates and prepares AR display frames based on predicted driver head position and vehicle motion trajectories, reducing real-time computational burden by performing computations before they are critically needed
Solution Approach 2:
The system selectively processes and displays only the most relevant road features and information within the driver's field of view, rather than rendering all available map data, thereby reducing computational load while maintaining high user experience quality
Data Source
AI summary
Techniques are disclosed for using augmented reality (AR) displays to convey graphical representations of different types of information to a user. The information may be obtained from various sources such as objects and/or features that are dynamically detected by a vehicle or user-generated content. The graphical representations may also be based upon information that may be obtained via the use of crowdsourced AV map data. The graphical representations may be presented in as an AR view in a medium (such as a vehicle windshield) that matches a field of view of a user, thus accurately blending holographic information with the physical objects in the scene.