VR Headset Orientation Correction via Sensor Fusion
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Solution Overview
Problem
Existing virtual reality headsets struggle to accurately and reliably capture head movements within vehicles, leading to immersion issues and potential motion sickness due to drift in inertial measurement unit data.
Innovation Solution
Combining vehicle localization data with inertial measurement units and optical tracking using a Kalman filter to correct orientation data, ensuring precise head movement capture and reducing drift, allowing for immersive experiences even in moving vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If inertial measurement units are used to track head movements in virtual reality headsets, then continuous orientation data can be obtained, but drift occurs over time leading to inaccurate head movement capture
Solution Approach 1:
The system uses optical tracking to periodically measure the actual head position and feeds this information back to correct the drift in IMU data. The controller compares the IMU-derived position with the optically tracked position and applies corrective transformations to eliminate accumulated errors, maintaining long-term accuracy while preserving continuous high-rate tracking.
Solution Approach 2:
The patent introduces an intermediary correction mechanism that acts between the IMU and the final rendering system. The optical tracking system serves as an intermediary reference frame that mediates the drift problem by providing periodic absolute position references, allowing the system to reset accumulated errors without disrupting continuous motion tracking.
2Measurement precision
If optical tracking is used to correct IMU drift, then measurement accuracy improves, but system complexity increases due to multiple sensor systems
Solution Approach 1:
The optical tracking system serves multiple functions: it provides absolute position reference for drift correction, enables direct visualization of head position, and can serve as a backup tracking method. This multi-functionality justifies the added complexity by providing several benefits from a single additional subsystem.
Solution Approach 2:
The system applies optical tracking at selective intervals rather than continuously, using it only when drift correction is needed. This partial action approach reduces the computational burden and processing requirements compared to continuous dual-system operation, while still achieving the necessary correction frequency to maintain accuracy.
3Reliability
If vehicle movement data is integrated with head tracking, then accurate virtual perspective can be maintained during vehicle motion, but processing complexity and computational load increase
Solution Approach 1:
The system extracts and separates vehicle movement components from head movement data. By identifying and removing the vehicle motion portion from the combined sensor data, the system can isolate pure head movements relative to the vehicle, simplifying the rendering calculations and improving perspective accuracy during vehicle motion.
Solution Approach 2:
The tracking system segments motion data into distinct components: vehicle movement (from GPS/accelerometers) and head movement (from IMU/optical tracking). This segmentation allows independent processing of each motion type, reducing computational complexity by handling vehicle stabilization and head tracking as separate computational tasks rather than a monolithic problem.
4Measurement precision
If high-resolution head movement capture is achieved through multiple sensor systems, then user immersion improves, but energy consumption increases
Solution Approach 1:
The optical tracking system operates periodically rather than continuously, activating at intervals to correct drift and then allowing the lower-power IMU to handle continuous tracking. This periodic operation maintains high measurement precision when needed while significantly reducing average energy consumption compared to continuous high-resolution sensing from all systems.
Solution Approach 2:
The system dynamically adjusts the operational mode of different sensors based on current needs. During periods of stable vehicle motion, the system relies more on the energy-efficient IMU. During periods requiring drift correction or when vehicle motion introduces errors, the system dynamically activates the optical tracking system to provide corrections, optimizing the balance between precision and energy consumption in real-time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method provides robust and high-resolution head movement capture, reducing motion sickness and ensuring accurate virtual perspective changes, enhancing user immersion and accuracy in virtual environments.
Implementation Method 1
at least an instantaneous orientation of the virtual reality headset is continuously determined by means of an inertial measurement unit (IMU), arranged on the virtual reality headset
Implementation Method 2
a relative arrangement of the virtual reality headset with respect to the vehicle interior of the vehicle is determined at predetermined time intervals by means of a visual or optical tracking using an optical capture device arranged on the virtual reality headset
Implementation Method 3
Based on at least an orientation of the virtual reality headset that is repeatedly determined by means of a fusion of at least the determined instantaneous orientation of the virtual reality headset with the optically determined relative arrangement, the virtual perspective on the virtual environment displayed by means of the virtual reality headset is simulated
Data Source
AI summary
The invention relates to a method for operating a virtual reality headset in a vehicle, in which at least an instantaneous orientation of the virtual reality headset is determined by means of an inertial measurement unit arranged on the virtual reality headset, and a corresponding control device. Based thereon and on vehicle localisation data, a virtual perspective of a virtual environment displayed in the virtual reality headset is simulated. Therein, a relative arrangement of the virtual reality headset with respect to the vehicle interior is determined through an optical capture device arranged on the virtual reality headset. Corresponding data from the inertial measurement unit and the optical capture device are fused together to determine a corrected orientation or pose of the virtual reality headset with respect to the vehicle interior for simulating the virtual perspective.