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Masking by Moving: Learning Distraction-Free Radar Odometry from Pose
  Information

Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information

9 September 2019
Dan Barnes
Rob Weston
Ingmar Posner
ArXivPDFHTML

Papers citing "Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information"

11 / 11 papers shown
Title
Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights
Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights
Daniil Lisus
Johann Laconte
Keenan Burnett
Ziyu Zhang
Timothy D. Barfoot
74
6
0
15 Sep 2023
Learning to Localize Using a LiDAR Intensity Map
Learning to Localize Using a LiDAR Intensity Map
Ioan Andrei Bârsan
Shenlong Wang
A. Pokrovsky
R. Urtasun
30
91
0
20 Dec 2020
Look Around You: Sequence-based Radar Place Recognition with Learned
  Rotational Invariance
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance
Matthew Gadd
D. Martini
Paul Newman
39
48
0
10 Mar 2020
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford
  RobotCar Dataset
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset
Dan Barnes
Matthew Gadd
P. Murcutt
Paul Newman
Ingmar Posner
43
375
0
03 Sep 2019
Driven to Distraction: Self-Supervised Distractor Learning for Robust
  Monocular Visual Odometry in Urban Environments
Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments
Dan Barnes
William P. Maddern
Geoffrey Pascoe
Ingmar Posner
45
69
0
17 Nov 2017
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
43
779
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
46
511
0
20 Sep 2017
Deep Image Homography Estimation
Deep Image Homography Estimation
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
39
437
0
13 Jun 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
162
11,135
0
14 Mar 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.1K
76,547
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
736
149,474
0
22 Dec 2014
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