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Fusing Structure from Motion and Simulation-Augmented Pose Regression
  from Optical Flow for Challenging Indoor Environments

Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments

14 April 2023
Felix Ott
Lucas Heublein
David Rügamer
Bernd Bischl
Christopher Mutschler
ArXivPDFHTML

Papers citing "Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments"

17 / 17 papers shown
Title
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Lucas Heublein
Nisha Lakshmana Raichur
Tobias Feigl
Tobias Brieger
Fin Heuer
Lennart Asbach
A. Rügamer
Felix Ott
111
7
0
31 Mar 2025
Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization
Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization
Lucas Heublein
Tobias Feigl
Thorsten Nowak
A. Rügamer
Christopher Mutschler
Felix Ott
42
7
0
23 Sep 2024
3D reconstruction using Structure for Motion
3D reconstruction using Structure for Motion
Kshitij Karnawat
Hritvik Choudhari
Abhimanyu Saxena
Mudit Singal
Raajith Gadam
3DV
MDE
16
1
0
10 Jun 2023
Improving Feature-based Visual Localization by Geometry-Aided Matching
Improving Feature-based Visual Localization by Geometry-Aided Matching
Hailin Yu
Youji Feng
Weicai Ye
Min Jiang
Hujun Bao
Guofeng Zhang
40
9
0
16 Nov 2022
Sequencer: Deep LSTM for Image Classification
Sequencer: Deep LSTM for Image Classification
Yuki Tatsunami
Masato Taki
VLM
ViT
45
79
0
04 May 2022
Homography-Based Loss Function for Camera Pose Regression
Homography-Based Loss Function for Camera Pose Regression
Clémentin Boittiaux
R. Marxer
C. Dune
A. Arnaubec
Vincent Hugel
53
5
0
04 May 2022
Perceiver IO: A General Architecture for Structured Inputs & Outputs
Perceiver IO: A General Architecture for Structured Inputs & Outputs
Andrew Jaegle
Sebastian Borgeaud
Jean-Baptiste Alayrac
Carl Doersch
Catalin Ionescu
...
Olivier J. Hénaff
M. Botvinick
Andrew Zisserman
Oriol Vinyals
João Carreira
MLLM
VLM
GNN
40
571
0
30 Jul 2021
Learning Multi-Scene Absolute Pose Regression with Transformers
Learning Multi-Scene Absolute Pose Regression with Transformers
Yoli Shavit
Ron Ferens
Y. Keller
ViT
36
123
0
21 Mar 2021
LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization
LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization
Lukas von Stumberg
Patrick Wenzel
Nan Yang
Daniel Cremers
30
34
0
13 Oct 2020
Visual Odometry Revisited: What Should Be Learnt?
Visual Odometry Revisited: What Should Be Learnt?
Huangying Zhan
C. Weerasekera
Jiawang Bian
Ian Reid
MDE
38
156
0
21 Sep 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
31
97
0
27 Jun 2019
Understanding the Limitations of CNN-based Absolute Camera Pose
  Regression
Understanding the Limitations of CNN-based Absolute Camera Pose Regression
Torsten Sattler
Qunjie Zhou
Marc Pollefeys
Laura Leal-Taixe
SSL
57
382
0
18 Mar 2019
Direct Sparse Visual-Inertial Odometry using Dynamic Marginalization
Direct Sparse Visual-Inertial Odometry using Dynamic Marginalization
Lukas von Stumberg
V. Usenko
Daniel Cremers
86
228
0
16 Apr 2018
Learning to Navigate in Cities Without a Map
Learning to Navigate in Cities Without a Map
Piotr Wojciech Mirowski
Matthew Koichi Grimes
Mateusz Malinowski
Karl Moritz Hermann
Keith Anderson
Denis Teplyashin
Karen Simonyan
Koray Kavukcuoglu
Andrew Zisserman
R. Hadsell
SSL
HAI
61
316
0
31 Mar 2018
Deep Auxiliary Learning for Visual Localization and Odometry
Deep Auxiliary Learning for Visual Localization and Odometry
Abhinav Valada
Noha Radwan
Wolfram Burgard
SSL
60
241
0
09 Mar 2018
LSTM Fully Convolutional Networks for Time Series Classification
LSTM Fully Convolutional Networks for Time Series Classification
Fazle Karim
Somshubra Majumdar
H. Darabi
Shun Chen
AIMat
AI4TS
30
1,100
0
08 Sep 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
64
1,800
0
22 Dec 2016
1