View source for Snap inc. (20240192024). LONG TERM IN-FIELD IMU TEMPERATURE CALIBRATION simplified abstract

=LONG TERM IN-FIELD IMU TEMPERATURE CALIBRATION=


==Organization Name==

[[:Category:snap inc.|snap inc.]]


[[Category:snap inc.]]

==Inventor(s)==

[[:Category:Georg Halmetschlager-funek of Vienna (AT)|Georg Halmetschlager-funek of Vienna (AT)]][[Category:Georg Halmetschlager-funek of Vienna (AT)]]

[[:Category:Jeroen Diederik Hol of Hengelo (NL)|Jeroen Diederik Hol of Hengelo (NL)]][[Category:Jeroen Diederik Hol of Hengelo (NL)]]

[[:Category:Matthias Kalkgruber of Vienna (AT)|Matthias Kalkgruber of Vienna (AT)]][[Category:Matthias Kalkgruber of Vienna (AT)]]

[[:Category:Tiago Miguel Pereira Torres of Vienna (AT)|Tiago Miguel Pereira Torres of Vienna (AT)]][[Category:Tiago Miguel Pereira Torres of Vienna (AT)]]

==LONG TERM IN-FIELD IMU TEMPERATURE CALIBRATION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240192024 titled 'LONG TERM IN-FIELD IMU TEMPERATURE CALIBRATION

==Simplified Explanation==
The patent application describes a method for calibrating a visual-inertial tracking system by measuring the temperature of an inertial measurement unit (IMU), identifying the IMU intrinsic parameter estimate corresponding to the temperature, determining an online IMU intrinsic parameter estimate, providing it to the IMU calibration module, and updating the IMU parametric model with the online estimate.

* Measuring temperature of IMU
* Identifying IMU intrinsic parameter estimate
* Determining online IMU intrinsic parameter estimate
* Providing estimate to IMU calibration module
* Updating IMU parametric model

==Key Features and Innovation==
- Calibration of a visual-inertial tracking system based on IMU temperature
- Online estimation and updating of IMU intrinsic parameters
- Integration of temperature-dependent IMU calibration

==Potential Applications==
This technology can be applied in various fields such as robotics, augmented reality, virtual reality, and autonomous vehicles for accurate tracking and navigation.

==Problems Solved==
- Ensures accurate calibration of IMU in varying temperature conditions
- Improves the performance and reliability of visual-inertial tracking systems

==Benefits==
- Enhanced accuracy and stability of visual-inertial tracking systems
- Real-time calibration for optimal performance
- Increased efficiency in tracking and navigation tasks

==Commercial Applications==
* Visual-inertial navigation systems for drones
* Augmented reality headsets
* Autonomous vehicles for precise localization and mapping

==Prior Art==
Further research can be conducted in the field of IMU calibration methods and temperature-dependent sensor calibration techniques.

==Frequently Updated Research==
Stay updated on advancements in IMU calibration techniques and visual-inertial tracking system optimization.

==Questions about Visual-Inertial Tracking System Calibration==
===How does temperature affect IMU calibration in visual-inertial tracking systems?===
Temperature can impact the accuracy of IMU readings, requiring calibration adjustments for optimal performance.

===What are the advantages of online IMU intrinsic parameter estimation in calibration processes?===
Online estimation allows for real-time adjustments and updates, ensuring accurate calibration in changing conditions.


==Original Abstract Submitted==

a method for calibrating a visual-inertial tracking system is described. in one aspect, a method includes measuring a temperature of an inertial measurement unit (imu) of a visual-inertial tracking system, identifying, from an imu parametric model of an imu calibration module, an imu intrinsic parameter estimate corresponding to the temperature, determining an online imu intrinsic parameter estimate by operating the visual-inertial tracking system with the imu intrinsic parameter estimate, providing the online imu intrinsic parameter estimate to the imu calibration module, and updating and incorporating the imu parametric model with the online imu intrinsic parameter estimate.



[[Category:G01C25/00]]
[[Category:G01C21/16]]
[[Category:G06F3/01]]
[[Category:CPC_G01C25/005]]