Title
Managing Localization Delay for Cloud-assisted AR Applications Via LSTM-driven Overload Control
Abstract
Simultaneous Localization and Mapping plays a key role in different Augmented and Mixed Reality applications to determine the pose, that is, the position and orientation of the AR user in a 3D coordinate system, in relation with the rendered digital objects. To meet the ever-growing resource demands of these SLAM algorithms, the localization task can be offloaded to edge cloud platforms. Although ...
Year
DOI
Venue
2021
10.1109/AIVR52153.2021.00023
2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)
Keywords
DocType
ISBN
AR,MR,SLAM,Edge Computing,LSTM
Conference
978-1-6654-3225-2
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
János Czentye1325.65
Balázs Péter Gerő200.34
Balázs Sonkoly300.68