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1802.02209
Cited By
IONet: Learning to Cure the Curse of Drift in Inertial Odometry
30 January 2018
Changhao Chen
Chris Xiaoxuan Lu
Andrew Markham
A. Trigoni
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Papers citing
"IONet: Learning to Cure the Curse of Drift in Inertial Odometry"
35 / 35 papers shown
Title
Learning IMU Bias with Diffusion Model
Shenghao Zhou
Saimouli Katragadda
Guoquan Huang
12
0
0
17 May 2025
Neural Inertial Odometry from Lie Events
Royina Karegoudra Jayanth
Yinshuang Xu
Evangelos Chatzipantazis
Kostas Daniilidis
Daniel Gehrig
29
0
0
14 May 2025
Learned IMU Bias Prediction for Invariant Visual Inertial Odometry
Abdullah Altawaitan
Jason Stanley
Sambaran Ghosal
T. Duong
Nikolay Atanasov
31
0
0
10 May 2025
A Plug-and-Play Learning-based IMU Bias Factor for Robust Visual-Inertial Odometry
Yang Yi
Kunqing Wang
Jinpu Zhang
Zhen Tan
Xiangke Wang
Hui Shen
Dewen Hu
54
0
0
16 Mar 2025
AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability
Yuheng Qiu
Can Xu
Yutian Chen
Shibo Zhao
Junyi Geng
Sebastian A. Scherer
48
0
0
28 Jan 2025
EqNIO: Subequivariant Neural Inertial Odometry
Royina Karegoudra Jayanth
Yinshuang Xu
Ziyun Wang
Evangelos Chatzipantazis
Daniel Gehrig
Kostas Daniilidis
50
4
0
12 Aug 2024
Tightly-Coupled LiDAR-IMU-Wheel Odometry with an Online Neural Kinematic Model Learning via Factor Graph Optimization
Taku Okawara
Kenji Koide
Shuji Oishi
Masashi Yokozuka
A. Banno
Kentaro Uno
Kazuya Yoshida
51
0
0
12 Jul 2024
Radarize: Enhancing Radar SLAM with Generalizable Doppler-Based Odometry
E.M.S.L. Sie
Xinyu Wu
Heyu Guo
Deepak Vasisht
23
5
0
19 Nov 2023
ViFiT: Reconstructing Vision Trajectories from IMU and Wi-Fi Fine Time Measurements
Bryan Bo Cao
Abrar Alali
Hansi Liu
Nicholas Meegan
Marco Gruteser
Kristin J. Dana
A. Ashok
Shubham Jain
28
1
0
04 Oct 2023
Deep Learning for Inertial Positioning: A Survey
Changhao Chen
Xianfei Pan
24
49
0
07 Mar 2023
RIOT: Recursive Inertial Odometry Transformer for Localisation from Low-Cost IMU Measurements
James Brotchie
Wenchao Li
A. Greentree
A. Kealy
33
8
0
03 Mar 2023
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review
Arman Asgharpoor Golroudbari
M. Sabour
22
20
0
22 Feb 2023
Generalizable End-to-End Deep Learning Frameworks for Real-Time Attitude Estimation Using 6DoF Inertial Measurement Units
Arman Asgharpoor Golroudbari
M. Sabour
19
13
0
13 Feb 2023
Learnable Spatio-Temporal Map Embeddings for Deep Inertial Localization
Dennis Melamed
Karnik Ram
Vivek Roy
Kris Kitani
31
2
0
14 Nov 2022
Deep IMU Bias Inference for Robust Visual-Inertial Odometry with Factor Graphs
Russell Buchanan
Varun Agrawal
Marco Camurri
F. Dellaert
Maurice F. Fallon
35
31
0
08 Nov 2022
Learned Inertial Odometry for Autonomous Drone Racing
Giovanni Cioffi
L. Bauersfeld
Elia Kaufmann
Davide Scaramuzza
38
20
0
27 Oct 2022
SmartFPS: Neural Network based Wireless-inertial fusion positioning system
Luchi Hua
Jun Yang
21
3
0
27 Sep 2022
LGC-Net: A Lightweight Gyroscope Calibration Network for Efficient Attitude Estimation
Yaohua Liu
Wei Liang
Jinqiang Cui
13
7
0
19 Sep 2022
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression
Felix Ott
N. Raichur
David Rügamer
Tobias Feigl
Heiko Neumann
Bernd Bischl
Christopher Mutschler
38
1
0
01 Aug 2022
Adaptive Attitude Estimation Using a Hybrid Model-Learning Approach
Eran Vertzberger
Itzik Klein
27
8
0
22 Jun 2022
MoCap-less Quantitative Evaluation of Ego-Pose Estimation Without Ground Truth Measurements
Quentin Possamaï
Steeven Janny
G. Bono
Madiha Nadri Wolf
L. Bako
Christian Wolf
19
0
0
01 Feb 2022
ZUPT Aided GNSS Factor Graph with Inertial Navigation Integration for Wheeled Robots
Cagri Kilic
Shounak Das
Eduardo Gutiérrez
Ryan M. Watson
Jason N. Gross
27
2
0
14 Dec 2021
RIO: Rotation-equivariance supervised learning of robust inertial odometry
Caifa Zhou
Xiya Cao
Dandan Zeng
Yongliang Wang
OOD
SSL
31
22
0
23 Nov 2021
IMU Data Processing For Inertial Aided Navigation: A Recurrent Neural Network Based Approach
Ming Zhang
Mingming Zhang
Yiming Chen
Mingyang Li
30
40
0
26 Mar 2021
TLIO: Tight Learned Inertial Odometry
Wenxin Liu
David Caruso
Eddy Ilg
Jing Dong
Anastasios I. Mourikis
Kostas Daniilidis
Vijay Kumar
Jakob Engel
31
168
0
06 Jul 2020
Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude Estimation
Martin Brossard
Silvere Bonnabel
Axel Barrau
27
125
0
25 Feb 2020
Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference
Changhao Chen
Peijun Zhao
Chris Xiaoxuan Lu
Wei Wang
Andrew Markham
A. Trigoni
29
113
0
13 Jan 2020
Learning Selective Sensor Fusion for States Estimation
Changhao Chen
Stefano Rosa
Chris Xiaoxuan Lu
Bing Wang
Niki Trigoni
Andrew Markham
22
20
0
30 Dec 2019
TRADI: Tracking deep neural network weight distributions for uncertainty estimation
Gianni Franchi
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
Isabelle Bloch
UQCV
26
51
0
24 Dec 2019
Robust Data-Driven Zero-Velocity Detection for Foot-Mounted Inertial Navigation
Brandon Wagstaff
Valentin Peretroukhin
Jonathan Kelly
27
64
0
01 Oct 2019
RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark, Evaluations, and New Methods
Hang Yan
Sachini Herath
Yasutaka Furukawa
29
251
0
30 May 2019
Selective Sensor Fusion for Neural Visual-Inertial Odometry
Changhao Chen
Stefano Rosa
Yishu Miao
Chris Xiaoxuan Lu
Wei Wu
Andrew Markham
A. Trigoni
22
132
0
04 Mar 2019
OxIOD: The Dataset for Deep Inertial Odometry
Changhao Chen
Peijun Zhao
Chris Xiaoxuan Lu
Wei Wang
Andrew Markham
A. Trigoni
29
79
0
20 Sep 2018
LSTM-Based Zero-Velocity Detection for Robust Inertial Navigation
Brandon Wagstaff
Jonathan Kelly
30
105
0
13 Jul 2018
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
250
439
0
01 Dec 2016
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