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Generalizable End-to-End Deep Learning Frameworks for Real-Time Attitude
  Estimation Using 6DoF Inertial Measurement Units

Generalizable End-to-End Deep Learning Frameworks for Real-Time Attitude Estimation Using 6DoF Inertial Measurement Units

13 February 2023
Arman Asgharpoor Golroudbari
M. Sabour
ArXivPDFHTML

Papers citing "Generalizable End-to-End Deep Learning Frameworks for Real-Time Attitude Estimation Using 6DoF Inertial Measurement Units"

5 / 5 papers shown
Title
TE-PINN: Quaternion-Based Orientation Estimation using
  Transformer-Enhanced Physics-Informed Neural Networks
TE-PINN: Quaternion-Based Orientation Estimation using Transformer-Enhanced Physics-Informed Neural Networks
Arman Asgharpoor Golroudbari
ViT
22
0
0
24 Sep 2024
DoorINet: A Deep-Learning Inertial Framework for Door-Mounted IoT
  Applications
DoorINet: A Deep-Learning Inertial Framework for Door-Mounted IoT Applications
Aleksei Zakharchenko
Sharon Farber
Itzik Klein
14
1
0
24 Jan 2024
Inertial Navigation Meets Deep Learning: A Survey of Current Trends and
  Future Directions
Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions
Nadav Cohen
Itzik Klein
3DGS
18
34
0
22 Jun 2023
Recent Advancements in Deep Learning Applications and Methods for
  Autonomous Navigation: A Comprehensive Review
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review
Arman Asgharpoor Golroudbari
M. Sabour
16
19
0
22 Feb 2023
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
1