AR Headset Sensor Calibration via Offline Multi-Parameter Alignment
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Solution Overview
Problem
Augmented reality devices face calibration challenges due to insufficient calibration of sensors, leading to improper display of virtual content, which affects user experience and efficiency in calibrating large numbers of devices.
Innovation Solution
A method and system for calibrating multiple cameras and inertial measurement units (IMUs) of head-mounted display devices using multi-camera and display calibration parameters, allowing for off-line calibration and reduced time spent on calibration robots, thereby increasing throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are calibrated using traditional methods on calibration robots, then calibration accuracy is improved, but calibration time and processing duration increase significantly
Solution Approach 1:
The patent applies preliminary action by pre-calibrating sensors offline before actual AR device operation. Calibration parameters are determined in advance using controlled environments and then stored for reuse, eliminating the need for time-consuming on-site calibration and enabling rapid deployment of multiple devices
Solution Approach 2:
The patent uses copying by creating virtual calibration targets through image processing and generating synthetic calibration data. Instead of requiring physical calibration artifacts, the system captures images of known patterns, processes them to create digital representations, and uses these copies for calibration calculations, significantly reducing physical calibration time
2Measurement precision
If traditional calibration methods are used for each AR device, then individual device accuracy is improved, but productivity and throughput decrease
Solution Approach 1:
The patent applies universality by developing a calibration system that can process multiple AR devices simultaneously using the same calibration pipeline. The offline calibration framework and automated image processing algorithms are designed to handle batches of devices, allowing one calibration system to serve multiple devices without requiring individual manual calibration for each unit
Solution Approach 2:
The patent implements self-service by enabling AR devices to participate in their own calibration process through automated image capture and processing. The system uses the device's own cameras and processors to generate calibration data, reducing the need for external calibration equipment and manual intervention for each device
3Reliability
If multiple sensors are calibrated individually, then comprehensive calibration coverage is improved, but device complexity and calibration process complexity increase
Solution Approach 1:
The patent applies merging by combining multiple individual sensor calibrations into a unified calibration process. Instead of calibrating cameras, IMUs, and other sensors separately, the system integrates them into a single coordinated calibration routine that captures all sensors simultaneously and processes their data together, reducing overall process complexity
Solution Approach 2:
The patent uses an intermediary approach by introducing a central calibration management system that coordinates between multiple sensors and processing stages. This intermediary layer standardizes the calibration interface, manages data flow between different sensor types, and automates the coordination of calibration activities, simplifying the overall complex process
Data Source
AI summary
Techniques of augmented reality device calibration are disclosed. In some example embodiments, a system calibrates a visual inertial navigation (VIN) camera of a head mounted display (HMD) device with at least one eye camera of the HMD device to generate multi-camera calibration parameters, calibrating the at eye camera(s) with a display module of the HMD to generate display calibration parameters, calibrating the IMU with the VIN camera to generate VIN calibration parameters, and calibrating the IMU to the display module using the multi-camera calibration parameters, the display calibration parameters, and the VIN calibration parameters.