Vehicle Data Glasses Using Interior Object Tracking for Stable AR
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In a motor vehicle environment, existing data glasses systems struggle to accurately differentiate between head movements and vehicle movements, leading to unwanted changes in displayed content due to acceleration and cornering, requiring additional inertial sensors outside the glasses.
Innovation Solution
A method using a processor circuit within the data glasses that receives image data from a camera to identify and match digital models of vehicle interior objects, determining their relative position and controlling image content based on this information, without relying on acceleration sensors, and utilizing a combination of image processing and computer vision algorithms to distinguish head movements from vehicle movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If acceleration sensors are installed in the data glasses to detect head movement, then head movement sensing capability is improved, but device complexity and measurement accuracy deteriorate due to inability to differentiate between head movement and vehicle movement
Solution Approach 1:
The patent introduces an intermediary reference object (a recognizable object in the vehicle interior) that mediates between the camera and the head movement detection system. By tracking the relative position between the reference object and the data glasses through image processing, the system indirectly determines head movement without relying solely on acceleration sensors, thus resolving the contradiction between measurement accuracy and device complexity
Solution Approach 2:
The patent replaces the mechanical acceleration sensor-based detection system with an optical/image processing-based system. Instead of using mechanical sensors to directly measure head movement, the system uses a camera to capture images of the vehicle interior and processes these images to determine relative position changes, substituting a mechanical measurement approach with an optical one that can differentiate between vehicle and head movement
2Measurement precision
If additional inertial sensors outside the data glasses are installed to measure vehicle acceleration, then vehicle movement measurement is improved, but device complexity and cost increase
Solution Approach 1:
The patent applies the self-service principle by enabling the data glasses system to determine vehicle movement information through its own camera and image processing capabilities. The system uses the camera to capture images of the vehicle interior and processes these images to extract both head movement and vehicle movement information, making the system self-sufficient and eliminating the need for additional external inertial sensors
Solution Approach 2:
The patent makes the camera system multi-functional by using it for both head movement detection and vehicle movement measurement. The same camera that captures images for tracking the reference object also provides information about vehicle acceleration and cornering through image analysis, thus serving multiple functions with a single component and reducing overall system complexity
3Measurement precision
If image processing and computer vision algorithms are used to distinguish head movements from vehicle movements, then measurement precision is improved, but computational complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-storing a digital model of the vehicle interior and pre-identifying reference objects in the captured images. The system prepares the image processing pipeline in advance by selecting and tracking specific reference objects, which simplifies the real-time computation needed to differentiate head movement from vehicle movement, reducing the computational burden during actual operation
Data Source
AI summary
A processor circuit, which is provided in data glasses or coupled to the data glasses via a communication connection, receives image data from at least one camera of the data glasses, representing an environment of the data glasses. A digital model of at least one predetermined orientation object is stored in the processor circuit and a predetermined matching routine checks whether the model correlates with an image region of the environment represented in the image data. If a correlation is identified, a relative position associated with the image region via a coordinates map is determined and image content of the data glasses is controlled according to the determined relative position of the at least one orientation object.