scholarly journals Sensor Fusion for Augmented Reality

2006 ◽  
Author(s):  
J. Hol ◽  
T. Schon ◽  
F. Gustafsson ◽  
P. Slycke
Keyword(s):  
Augmented Reality ◽  
Sensor Fusion

Sensor Fusion for Augmented Reality

2003 ◽  
pp. 160-176 ◽  
Author(s):  
Jurjen Caarls ◽  
Pieter Jonker ◽  
Stelian Persa
Keyword(s):  
Augmented Reality ◽  
Sensor Fusion

scholarly journals Sensor Fusion for Augmented Reality

2008 ◽  
Vol 41 (2) ◽  
pp. 14100
Author(s):  
Fredrik Gustafsson ◽  
Thomas B. Schön ◽  
Jeroen D. Hol
Keyword(s):  
Augmented Reality ◽  
Sensor Fusion

Sensor fusion and augmented reality with the SAFIRE system

2018 ◽  
Author(s):  
Philip J. Saponaro ◽  
Wayne Treible ◽  
Brian Phelan ◽  
Kelly Sherbondy ◽  
Chandra Kambhamettu
Keyword(s):  
Augmented Reality ◽  
Sensor Fusion

scholarly journals An Augmented Reality Based Human-Robot Interaction Interface Using Kalman Filter Sensor Fusion

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4586 ◽  
Author(s):  
Chunxu Li ◽  
Ashraf Fahmy ◽  
Johann Sienz
Keyword(s):  
Kalman Filter ◽  
Augmented Reality ◽  
Sensor Fusion ◽  
Kalman Filtering ◽  
Control Process ◽  
Human Robot Interaction ◽  
Post Processing ◽  
Robot Interaction ◽  
Kinect Camera ◽  
Interaction Interface

In this paper, the application of Augmented Reality (AR) for the control and adjustment of robots has been developed, with the aim of making interaction and adjustment of robots easier and more accurate from a remote location. A LeapMotion sensor based controller has been investigated to track the movement of the operator hands. The data from the controller allows gestures and the position of the hand palm’s central point to be detected and tracked. A Kinect V2 camera is able to measure the corresponding motion velocities in x, y, z directions after our investigated post-processing algorithm is fulfilled. Unreal Engine 4 is used to create an AR environment for the user to monitor the control process immersively. Kalman filtering (KF) algorithm is employed to fuse the position signals from the LeapMotion sensor with the velocity signals from the Kinect camera sensor, respectively. The fused/optimal data are sent to teleoperate a Baxter robot in real-time by User Datagram Protocol (UDP). Several experiments have been conducted to test the validation of the proposed method.

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