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Visual odometry networks commonly use pretrained optical flow networks in order to derive the ego-motion between consecutive frames.
Avoiding moving outliers in visual slam by tracking moving objects
S. Wangsiripitak and D. W. Murray · 2009
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Stereoscan: Dense 3d reconstruction in real-time
Andreas Geiger, Julius Ziegler, and Christoph Stiller · 2011
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Improving semantic segmentation via video propagation and label relaxation
Yi Zhu, K. Sapra, F. Reda, K. Shih, S. Newsam, A. Tao, and Bryan Catanzaro · 2011
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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SVO : Semidirect Visual Odometry for Monocular and Multicamera Systems
Christian Forster, Zichao Zhang, Michael Gassner, Manuel Werlberger, and Davide Scaramuzza · 2016
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Flownet 2.0: Evolution of optical flow estimation with deep networks
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, and Thomas Brox · 2016
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Automatic feature extraction using cnn for robust active one-shot scanning
R. Sagawa, Y. Shiba, T. Hirukawa, S. Ono, H. Kawasaki, and R. Furukawa · 2016
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Axiomatic attribution for deep networks
Mukund Sundararajan, Ankur Taly, and Qiqi Yan · 2017
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Decomposing motion and content for natural video sequence prediction
R. Villegas, Jimei Yang, Seunghoon Hong, Xunyu Lin, and H. Lee · 2017
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Deepvo: Towards end-to-end visual odometry with deep recurrent convolutional neural networks
S. Wang, R. Clark, H. Wen, and N. Trigoni · 2017
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Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, and Kaiming He · 2017
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Augmented reality meets computer vision: Efficient data generation for urban driving scenes
Hassan Alhaija, Siva Mustikovela, Lars Mescheder, Andreas Geiger, and Carsten Rother · 2018
End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks
Sen Wang, Ronald Clark, Hongkai Wen, and Niki Trigoni · 2018
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Self-attention generative adversarial networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas, and Augustus Odena · 2018
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Beyond tracking: Selecting memory and refining poses for deep visual odometry
Fei Xue, Xin Wang, Shunkai Li, Qiuyuan Wang, Junqiu Wang, and Hongbin Zha · 2019
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A survey on deep learning for localization and mapping: Towards the age of spatial machine intelligence, 2020
Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, and Andrew Markham · 2020
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Dynamic attention-based visual odometry
X. Kuo, C. Liu, K. Lin, and C. Lee · 2020
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Atloc: Attention guided camera localization
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Squeeze-and-excitation networks
J. Hu, L. Shen, and G. Sun · 2018
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Visual slam for automated driving: Exploring the applications of deep learning
S. Milz, G. Arbeiter, C. Witt, B. Abdallah, and S. Yogamani · 2018
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Dpc-net: Deep pose correction for visual localization
V. Peretroukhin and J. Kelly · 2018
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Bing Wang, Changhao Chen, Chris Lu, Peijun Zhao, Niki Trigoni, and Andrew Markham · 2020
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Vdo-slam: A visual dynamic object-aware slam system, 2020
Jun Zhang, Mina Henein, Robert Mahony, and Viorela Ila · 2020
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