View source for 18090985. AUGMENTED REALITY (AR) DEVICE AND METHOD OF PREDICTING POSE THEREIN simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

=AUGMENTED REALITY (AR) DEVICE AND METHOD OF PREDICTING POSE THEREIN=


==Organization Name==

[[:Category:SAMSUNG ELECTRONICS CO., LTD.|SAMSUNG ELECTRONICS CO., LTD.]]


[[Category:SAMSUNG ELECTRONICS CO., LTD.]]

==Inventor(s)==

[[:Category:Yuntae Kim of Seoul (KR)|Yuntae Kim of Seoul (KR)]][[Category:Yuntae Kim of Seoul (KR)]]

[[:Category:Sanghoon Sull of Seoul (KR)|Sanghoon Sull of Seoul (KR)]][[Category:Sanghoon Sull of Seoul (KR)]]

[[:Category:Geeyoung Sung of Daegu (KR)|Geeyoung Sung of Daegu (KR)]][[Category:Geeyoung Sung of Daegu (KR)]]

[[:Category:Hongseok Lee of Seoul (KR)|Hongseok Lee of Seoul (KR)]][[Category:Hongseok Lee of Seoul (KR)]]

[[:Category:Myungjae Jeon of Yongin-si (KR)|Myungjae Jeon of Yongin-si (KR)]][[Category:Myungjae Jeon of Yongin-si (KR)]]

==AUGMENTED REALITY (AR) DEVICE AND METHOD OF PREDICTING POSE THEREIN - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18090985 titled 'AUGMENTED REALITY (AR) DEVICE AND METHOD OF PREDICTING POSE THEREIN

==Simplified Explanation==

The patent application describes an augmented reality (AR) device and a method for predicting the device's pose. Here are the key points:

* The AR device uses an inertial measurement unit (IMU) to capture movement data at a certain rate.
* Based on the IMU data and images captured by the device's camera, the device estimates intermediate 6-degrees of freedom (6D) poses using a visual-inertial simultaneous localization and mapping (VI-SLAM) module.
* The device generates a pose prediction model by training a deep neural network to predict relative 6D poses of the device.
* The pose prediction model helps improve the accuracy and responsiveness of the AR device's pose estimation.

Potential applications of this technology:

* Augmented reality gaming: The accurate pose prediction can enhance the gaming experience by precisely overlaying virtual objects onto the real world.
* Industrial training and maintenance: AR devices can assist workers in performing complex tasks by providing real-time guidance based on accurate pose estimation.
* Navigation and wayfinding: AR devices can provide intuitive directions and information by accurately tracking the user's position and orientation.

Problems solved by this technology:

* Inaccurate pose estimation: Traditional methods of pose estimation in AR devices may suffer from drift or imprecise tracking, leading to a less immersive and reliable experience.
* Latency and responsiveness: By predicting the device's pose, the AR device can reduce latency and provide a more responsive augmented reality experience.

Benefits of this technology:

* Improved accuracy: The combination of IMU data and visual information allows for more precise pose estimation, resulting in a more realistic and immersive augmented reality experience.
* Real-time responsiveness: The pose prediction model enables the AR device to quickly update and adjust the virtual content based on the user's movements, providing a seamless and interactive experience.
* Versatile applications: The technology can be applied to various industries and use cases, ranging from gaming to industrial training, making augmented reality more accessible and useful in different contexts.


==Original Abstract Submitted==

An augmented reality (AR) device and a method of predicting a pose in the AR device is provided. In the augmented reality (AR) device inertial measurement unit (IMU) values corresponding to the movement of the AR device are obtained at an IMU rate, intermediate 6-degrees of freedom (6D) poses of the AR device are estimated based on the IMU values and images around the AR device via a visual-inertial simultaneous localization and mapping (VI-SLAM) module, and a pose prediction model for predicting relative 6D poses of the AR device is generated by performing learning by using a deep neural network.



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