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Visual Odometry Revisited: What Should Be Learnt?

Visual Odometry Revisited: What Should Be Learnt?

21 September 2019
Huangying Zhan
C. Weerasekera
Jiawang Bian
Ian Reid
    MDE
ArXivPDFHTML

Papers citing "Visual Odometry Revisited: What Should Be Learnt?"

31 / 31 papers shown
Title
FD-RIO: Fast Dense Radar Inertial Odometry
FD-RIO: Fast Dense Radar Inertial Odometry
Nader Abu-Alrub
Nathir A. Rawashdeh
35
0
0
12 May 2025
Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines
Olaya Álvarez-Tunón
Yury Brodskiy
Erdal Kayacan
73
6
0
04 Mar 2025
Automatic Target-Less Camera-LiDAR Calibration From Motion and Deep
  Point Correspondences
Automatic Target-Less Camera-LiDAR Calibration From Motion and Deep Point Correspondences
Kürsat Petek
Niclas Vodisch
Johannes Meyer
Daniele Cattaneo
Abhinav Valada
Wolfram Burgard
40
7
0
26 Apr 2024
Motion Consistency Loss for Monocular Visual Odometry with
  Attention-Based Deep Learning
Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning
André O. Françani
Marcos R. O. A. Máximo
40
0
0
19 Jan 2024
Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach
Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach
André O. Françani
Marcos R. O. A. Máximo
35
8
0
10 May 2023
ActiveRMAP: Radiance Field for Active Mapping And Planning
ActiveRMAP: Radiance Field for Active Mapping And Planning
Huangying Zhan
Jiyang Zheng
Yi Tian Xu
Ian Reid
Hamid Rezatofighi
AI4CE
28
30
0
23 Nov 2022
Predicting Topological Maps for Visual Navigation in Unexplored
  Environments
Predicting Topological Maps for Visual Navigation in Unexplored Environments
Huangying Zhan
Hamid Rezatofighi
Ian Reid
36
0
0
23 Nov 2022
SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for
  Dynamic Scenes
SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes
Libo Sun
Jiawang Bian
Huangying Zhan
Wei Yin
Ian Reid
Chunhua Shen
MDE
26
56
0
07 Nov 2022
Lidar-level localization with radar? The CFEAR approach to accurate,
  fast and robust large-scale radar odometry in diverse environments
Lidar-level localization with radar? The CFEAR approach to accurate, fast and robust large-scale radar odometry in diverse environments
Daniel Adolfsson
Martin Magnusson
Anas W. Alhashimi
A. Lilienthal
Henrik Andreasson
24
40
0
04 Nov 2022
EMA-VIO: Deep Visual-Inertial Odometry with External Memory Attention
EMA-VIO: Deep Visual-Inertial Odometry with External Memory Attention
Zheming Tu
Changhao Chen
Xianfei Pan
Ruochen Liu
Jiarui Cui
Jun Mao
53
16
0
18 Sep 2022
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in
  Dynamic Environments
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic Environments
Shihao Shen
Yilin Cai
Wenshan Wang
Sebastian Scherer
VGen
27
43
0
17 Sep 2022
Deep Patch Visual Odometry
Deep Patch Visual Odometry
Zachary Teed
Lahav Lipson
Jia Deng
MDE
28
111
0
08 Aug 2022
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose
  Regression and Odometry-aided Absolute Pose Regression
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
31
1
0
01 Aug 2022
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving
  Cameras in the Wild
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild
Wang Zhao
Shaohui Liu
Hengkai Guo
Wenping Wang
Yong-Jin Liu
35
63
0
19 Jul 2022
Information-Theoretic Odometry Learning
Information-Theoretic Odometry Learning
Sen Zhang
Jing Zhang
Dacheng Tao
20
5
0
11 Mar 2022
Towards Scale Consistent Monocular Visual Odometry by Learning from the
  Virtual World
Towards Scale Consistent Monocular Visual Odometry by Learning from the Virtual World
Sen Zhang
Jing Zhang
Dacheng Tao
24
15
0
11 Mar 2022
Learning Generalized Visual Odometry Using Position-Aware Optical Flow
  and Geometric Bundle Adjustment
Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment
Yijun Cao
Xian-Shi Zhang
Fuya Luo
Peng Peng
Yongjie Li
22
10
0
22 Nov 2021
CoFi: Coarse-to-Fine ICP for LiDAR Localization in an Efficient Long-lasting Point Cloud Map
Yecheng Lyu
Xinming Huang
Ziming Zhang
27
1
0
19 Oct 2021
Scale-aware direct monocular odometry
Scale-aware direct monocular odometry
C. Campos
Juan D. Tardós
MDE
18
4
0
21 Sep 2021
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry
  Perception with Adaptive Cross Weighted Loss from Monocular Videos
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos
Jiaojiao Fang
Guizhong Liu
3DPC
SSL
24
0
0
09 Aug 2021
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth
  Estimation for Indoor Environments
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
Pan Ji
Runze Li
B. Bhanu
Yi Tian Xu
MDE
29
68
0
26 Jul 2021
CFEAR Radarodometry -- Conservative Filtering for Efficient and Accurate
  Radar Odometry
CFEAR Radarodometry -- Conservative Filtering for Efficient and Accurate Radar Odometry
Daniel Adolfsson
Martin Magnusson
Anas W. Alhashimi
A. Lilienthal
Henrik Andreasson
34
45
0
04 May 2021
Generalizing to the Open World: Deep Visual Odometry with Online
  Adaptation
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation
Shunkai Li
Xin Wu
Yingdian Cao
H. Zha
23
41
0
29 Mar 2021
DF-VO: What Should Be Learnt for Visual Odometry?
DF-VO: What Should Be Learnt for Visual Odometry?
Huangying Zhan
C. Weerasekera
Jiawang Bian
Ravi Garg
Ian Reid
23
34
0
01 Mar 2021
MOLTR: Multiple Object Localisation, Tracking, and Reconstruction from
  Monocular RGB Videos
MOLTR: Multiple Object Localisation, Tracking, and Reconstruction from Monocular RGB Videos
Kejie Li
Hamid Rezatofighi
Ian Reid
61
25
0
09 Dec 2020
RaLL: End-to-end Radar Localization on Lidar Map Using Differentiable
  Measurement Model
RaLL: End-to-end Radar Localization on Lidar Map Using Differentiable Measurement Model
Huan Yin
Runjian Chen
Yue Wang
R. Xiong
27
43
0
15 Sep 2020
Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints
Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints
You-Yi Jau
Rui Zhu
Hao Su
Manmohan Chandraker
19
49
0
29 Jul 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art
  Technologies
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
49
83
0
10 Jun 2020
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual
  Odometry
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
Nan Yang
Lukas von Stumberg
Rui Wang
Daniel Cremers
MDE
16
371
0
02 Mar 2020
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Biwei Huang
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
200
1,708
0
06 Jun 2018
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D
  Cameras
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
Raul Mur-Artal
Juan D. Tardós
204
5,375
0
20 Oct 2016
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