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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"

23 / 23 papers shown
Title
Deep IMU Bias Inference for Robust Visual-Inertial Odometry with Factor
  Graphs
Deep IMU Bias Inference for Robust Visual-Inertial Odometry with Factor Graphs
Russell Buchanan
Varun Agrawal
Marco Camurri
F. Dellaert
Maurice F. Fallon
59
31
0
08 Nov 2022
Adaptive Attitude Estimation Using a Hybrid Model-Learning Approach
Adaptive Attitude Estimation Using a Hybrid Model-Learning Approach
Eran Vertzberger
Itzik Klein
50
8
0
22 Jun 2022
Activation Functions in Deep Learning: A Comprehensive Survey and
  Benchmark
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark
S. Dubey
S. Singh
B. B. Chaudhuri
83
671
0
29 Sep 2021
Incremental learning of LSTM framework for sensor fusion in attitude
  estimation
Incremental learning of LSTM framework for sensor fusion in attitude estimation
P. Narkhede
Rahee Walambe
Shashi Poddar
K. Kotecha
29
24
0
04 Aug 2021
RIANN -- A Robust Neural Network Outperforms Attitude Estimation Filters
RIANN -- A Robust Neural Network Outperforms Attitude Estimation Filters
Daniel Weber
C. Gühmann
Thomas Seel
38
36
0
15 Apr 2021
Neural Networks Versus Conventional Filters for Inertial-Sensor-based
  Attitude Estimation
Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation
Daniel Weber
C. Gühmann
Thomas Seel
37
35
0
14 May 2020
Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude
  Estimation
Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude Estimation
Martin Brossard
Silvere Bonnabel
Axel Barrau
72
130
0
25 Feb 2020
Mish: A Self Regularized Non-Monotonic Activation Function
Mish: A Self Regularized Non-Monotonic Activation Function
Diganta Misra
63
680
0
23 Aug 2019
DeepVIO: Self-supervised Deep Learning of Monocular Visual Inertial
  Odometry using 3D Geometric Constraints
DeepVIO: Self-supervised Deep Learning of Monocular Visual Inertial Odometry using 3D Geometric Constraints
Liming Han
Yimin Lin
Guoguang Du
Kai Wang
3DPC
MDE
55
97
0
27 Jun 2019
RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark,
  Evaluations, and New Methods
RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark, Evaluations, and New Methods
Hang Yan
Sachini Herath
Yasutaka Furukawa
54
265
0
30 May 2019
LO-Net: Deep Real-time Lidar Odometry
LO-Net: Deep Real-time Lidar Odometry
Qing Li
Shaoyang Chen
Cheng-Yu Wang
Xin Li
Chenglu Wen
Ming Cheng
Jonathan Li
3DPC
50
208
0
17 Apr 2019
The TUM VI Benchmark for Evaluating Visual-Inertial Odometry
The TUM VI Benchmark for Evaluating Visual-Inertial Odometry
David Schubert
Thore Goll
Nikolaus Demmel
V. Usenko
J. Stückler
Daniel Cremers
56
366
0
17 Apr 2018
Deep Auxiliary Learning for Visual Localization and Odometry
Deep Auxiliary Learning for Visual Localization and Odometry
Abhinav Valada
Noha Radwan
Wolfram Burgard
SSL
66
241
0
09 Mar 2018
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent
  Convolutional Neural Networks
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks
Sen Wang
R. Clark
Hongkai Wen
A. Trigoni
69
782
0
25 Sep 2017
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning
Ruihao Li
Sen Wang
Zhiqiang Long
Dongbing Gu
MDE
79
512
0
20 Sep 2017
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning
  Problem
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem
R. Clark
Sen Wang
Hongkai Wen
Andrew Markham
A. Trigoni
48
349
0
29 Jan 2017
Temporal Convolutional Networks for Action Segmentation and Detection
Temporal Convolutional Networks for Action Segmentation and Detection
Colin S. Lea
Michael D. Flynn
René Vidal
A. Reiter
Gregory Hager
93
1,492
0
16 Nov 2016
Cyclical Learning Rates for Training Neural Networks
Cyclical Learning Rates for Training Neural Networks
L. Smith
ODL
197
2,525
0
03 Jun 2015
Empirical Evaluation of Rectified Activations in Convolutional Network
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
135
2,910
0
05 May 2015
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
244
6,776
0
03 Sep 2014
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
  Recognition
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ObjD
396
11,224
0
18 Jun 2014
Speech Recognition with Deep Recurrent Neural Networks
Speech Recognition with Deep Recurrent Neural Networks
Alex Graves
Abdel-rahman Mohamed
Geoffrey E. Hinton
226
8,517
0
22 Mar 2013
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
453
7,663
0
03 Jul 2012
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