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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

17 November 2017
Dan Barnes
William P. Maddern
Geoffrey Pascoe
Ingmar Posner
ArXivPDFHTML

Papers citing "Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments"

12 / 12 papers shown
Title
DiffuBox: Refining 3D Object Detection with Point Diffusion
DiffuBox: Refining 3D Object Detection with Point Diffusion
Xiangyu Chen
Zhenzhen Liu
Katie Z Luo
Siddhartha Datta
Adhitya Polavaram
...
Marco Pavone
Wei-Lun Chao
Mark E. Campbell
B. Hariharan
Kilian Q. Weinberger
44
3
0
25 May 2024
Better Monocular 3D Detectors with LiDAR from the Past
Better Monocular 3D Detectors with LiDAR from the Past
Yurong You
Cheng Perng Phoo
Carlos Diaz-Ruiz
Katie Z Luo
Wei-Lun Chao
Mark E. Campbell
B. Hariharan
Kilian Q. Weinberger
3DPC
33
1
0
08 Apr 2024
Unsupervised Domain Adaptation for Self-Driving from Past Traversal
  Features
Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features
Travis Zhang
Katie Z Luo
Cheng Perng Phoo
Yurong You
Wei-Lun Chao
Bharath Hariharan
Mark E. Campbell
Kilian Q. Weinberger
3DPC
15
0
0
21 Sep 2023
Self-Improving SLAM in Dynamic Environments: Learning When to Mask
Self-Improving SLAM in Dynamic Environments: Learning When to Mask
Adrian Bojko
R. Dupont
M. Tamaazousti
Hervé Le Borgne
14
3
0
15 Oct 2022
Visual-Inertial Multi-Instance Dynamic SLAM with Object-level
  Relocalisation
Visual-Inertial Multi-Instance Dynamic SLAM with Object-level Relocalisation
Yifei Ren
Binbin Xu
Christopher L. Choi
Stefan Leutenegger
49
15
0
08 Aug 2022
A high-precision self-supervised monocular visual odometry in foggy
  weather based on robust cycled generative adversarial networks and multi-task
  learning aided depth estimation
A high-precision self-supervised monocular visual odometry in foggy weather based on robust cycled generative adversarial networks and multi-task learning aided depth estimation
Xiuyuan Li
Jiangang Yu
F. Li
Guowen An
MDE
24
2
0
09 Mar 2022
LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation
LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation
S. Mohapatra
Mona Hodaei
S. Yogamani
Stefan Milz
H. Gotzig
Martin Simon
Hazem Rashed
Patrick Mäder
19
27
0
08 Nov 2021
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach
  Exploiting Sequential Data
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data
Xieyuanli Chen
Shijie Li
Benedikt Mersch
Louis Wiesmann
Jurgen Gall
Jens Behley
C. Stachniss
3DPC
30
181
0
19 May 2021
Track, Check, Repeat: An EM Approach to Unsupervised Tracking
Track, Check, Repeat: An EM Approach to Unsupervised Tracking
Adam W. Harley
Yiming Zuo
Jing Wen
Ayush Mangal
Shubhankar Potdar
Ritwick Chaudhry
Katerina Fragkiadaki
28
9
0
07 Apr 2021
Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAM
Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAM
Berta Bescós
Cesar Cadena
José Neira
22
26
0
15 Oct 2020
Approaches, Challenges, and Applications for Deep Visual Odometry:
  Toward to Complicated and Emerging Areas
Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas
Ke Min Wang
Sai Ma
Junlan Chen
Fan Ren
18
81
0
06 Sep 2020
Experimental Comparison of Visual-Aided Odometry Methods for Rail
  Vehicles
Experimental Comparison of Visual-Aided Odometry Methods for Rail Vehicles
Florian Tschopp
T. Schneider
Andrew W. Palmer
N. Nourani-Vatani
Cesar Cadena
Roland Siegwart
Juan I. Nieto
16
34
0
01 Apr 2019
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