Automotive Augmented Reality Without SLAM or 3D Reconstruction
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Solution Overview
Problem
Existing automotive systems lack effective methods for leveraging vehicle sensors to provide augmented reality applications that enhance user experience through real-time environmental object identification and augmentation.
Innovation Solution
A system and method that utilizes vehicle cameras and sensors to identify environmental objects, determine augmentation content, and render augmented image frames for display, utilizing machine learning and rendering engines to create immersive AR experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If SLAM techniques and 3D reconstruction are used to create augmented reality experiences, then the immersion and accuracy of the AR experience is improved, but the computational overhead and storage needs increase significantly
Solution Approach 1:
The patent extracts and removes the complex SLAM and 3D reconstruction components from the AR system, replacing them with a simplified approach that uses only 2D image processing and overlay techniques. This extraction eliminates the computational burden of building and maintaining 3D environmental models while preserving the core AR functionality of displaying augmented content over the real-world view.
Solution Approach 2:
Instead of creating persistent 3D models of the environment that require significant storage and processing resources, the system uses lightweight 2D image frames that are processed and discarded after each frame. The augmented reality content is rendered as 2D overlays on top of current camera frames rather than being integrated into permanent 3D models, dramatically reducing computational overhead and storage requirements.
2Reliability
If SLAM techniques and 3D reconstruction are used to create augmented reality experiences, then the immersion and accuracy of the AR experience is improved, but the storage needs increase significantly
Solution Approach 1:
The patent extracts and removes the complex SLAM and 3D reconstruction components from the AR system, replacing them with a simplified approach that uses only 2D image processing and overlay techniques. This extraction eliminates the computational burden of building and maintaining 3D environmental models while preserving the core AR functionality of displaying augmented content over the real-world view.
Solution Approach 2:
Instead of creating persistent 3D models of the environment that require significant storage and processing resources, the system uses lightweight 2D image frames that are processed and discarded after each frame. The augmented reality content is rendered as 2D overlays on top of current camera frames rather than being integrated into permanent 3D models, dramatically reducing computational overhead and storage requirements.
3Device complexity
If traditional sensor systems are used without AR integration, then the system complexity is kept low, but the user experience enhancement and application versatility are limited
Solution Approach 1:
The patent creates a universal AR platform that can support multiple applications (gaming, education, entertainment, navigation) using the same core technology stack. The system uses existing vehicle sensors and cameras to provide a unified AR interface that can be adapted to different use cases without requiring separate systems for each application, thereby increasing versatility while maintaining manageable complexity.
Solution Approach 2:
The patent introduces an AR processing system as an intermediary layer between the vehicle's existing sensors and the user interface. This mediator takes standard sensor inputs (camera feeds, sensor data) and transforms them into augmented reality presentations, enabling enhanced user experiences without directly modifying the underlying sensor systems or requiring complex integration of multiple specialized subsystems.
Data Source
AI summary
A method for augmented reality in automotive applications involves obtaining an image frame from a camera of a motor vehicle, identifying at least one environmental object in the image frame, determining an augmentation content based on the at least one environmental object, rendering an augmented image frame based on the image frame and the augmentation content, and displaying the augmented image frame to a user.


