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Deep learning has had remarkable success in robotic perception, but its data-centric nature suffers when it comes to generalizing to ever-changing environments.
A stochastic approximation method
Herbert Robbins and Sutton Monro · 1951
Earlier work this paper cites.
Methods of conjugate gradients for solving
Magnus R Hestenes and Eduard Stiefel · 1952
Earlier work this paper cites.
Bundle adjustment—a modern synthesis
Bill Triggs, Philip F McLauchlan, Richard I Hartley, and Andrew W Fitzgibbon · 1999
Earlier work this paper cites.
Torch: a modular machine learning software library
Ronan Collobert, Samy Bengio, and Johnny Mariéthoz · 2002
Earlier work this paper cites.
Is levenberg-marquardt the most efficient optimization algorithm for implementing bundle adjustment?
Manolis LA Lourakis and Antonis A Argyros · 2005
Earlier work this paper cites.
A guide to NumPy
Travis E Oliphant · 2006
Earlier work this paper cites.
Optimization theory and methods: nonlinear programming
Wenyu Sun and Ya-Xiang Yuan · 2006
Earlier work this paper cites.
On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
Andreas Wächter and Lorenz T Biegler · 2006
Earlier work this paper cites.
Ros: an open-source robot operating system
Morgan Quigley, Ken Conley, Brian Gerkey, Josh Faust, Tully Foote, Jeremy Leibs, Rob Wheeler, Andrew Y Ng, et al · 2009
Earlier work this paper cites.
version 7.10.0 (R2010a)
MATLAB · 2010
Earlier work this paper cites.
g2o: A general framework for (hyper) graph optimization
Giorgio Grisetti, Rainer Kümmerle, Hauke Strasdat, and Kurt Konolige · 2011
Earlier work this paper cites.
Factor graphs and gtsam: A hands-on introduction
Frank Dellaert · 2012
Earlier work this paper cites.
Arrayfire: a gpu acceleration platform
James Malcolm, Pavan Yalamanchili, Chris McClanahan, Vishwanath Venugopalakrishnan, Krunal Patel, and John Melonakos · 2012
Earlier work this paper cites.
The open motion planning library
Ioan A Sucan, Mark Moll, and Lydia E Kavraki · 2012
Earlier work this paper cites.
Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
Earlier work this paper cites.
Caffe: Convolutional architecture for fast feature embedding
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Robust bundle adjustment revisited
Christopher Zach · 2014
Earlier work this paper cites.
Lagrangian duality in 3d slam: Verification techniques and optimal solutions
Luca Carlone, David M Rosen, Giuseppe Calafiore, John J Leonard, and Frank Dellaert · 2015
Earlier work this paper cites.
An efficient solver for sparse linear systems based on rank-structured cholesky factorization
Jeffrey N Chadwick and David S Bindel · 2015
Earlier work this paper cites.
Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems
Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, and Zheng Zhang · 2015
Earlier work this paper cites.
Imu preintegration on manifold for efficient visual-inertial maximum-a-posteriori estimation, 2015
Christian Forster, Luca Carlone, Frank Dellaert, and Davide Scaramuzza · 2015
Earlier work this paper cites.
Deepmpc: Learning deep latent features for model predictive control
Ian Lenz, Ross A Knepper, and Ashutosh Saxena · 2015
Earlier work this paper cites.
Chainer: a next-generation open source framework for deep learning
Seiya Tokui, Kenta Oono, Shohei Hido, and Justin Clayton · 2015
Earlier work this paper cites.
Tensorflow: a system for large-scale machine learning
Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al · 2016
Earlier work this paper cites.
Theano: A python framework for fast computation of mathematical expressions
Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, et al · 2016
Earlier work this paper cites.
The euroc micro aerial vehicle datasets
Michael Burri, Janosch Nikolic, Pascal Gohl, Thomas Schneider, Joern Rehder, Sammy Omari, Markus W Achtelik, and Roland Siegwart · 2016
Cited alongside, same era.
gvnn: Neural network library for geometric computer vision
Ankur Handa, Michael Bloesch, Viorica Pătrăucean, Simon Stent, John McCormac, and Andrew Davison · 2016
Cited alongside, same era.
An open source neural networks c++ library
NN Open · 2016
Cited alongside, same era.
State estimation for robotics
Timothy D Barfoot · 2017
Cited alongside, same era.
Matterport3D: Learning from RGB-D data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 2017
Cited alongside, same era.
Jump: A modeling language for mathematical optimization
Iain Dunning, Joey Huchette, and Miles Lubin · 2017
Cited alongside, same era.
Tlio: Tight learned inertial odometry
Wenxin Liu, David Caruso, Eddy Ilg, Jing Dong, Anastasios I Mourikis, Kostas Daniilidis, Vijay Kumar, and Jakob Engel · 2020
Later among the works it cites.
Superglue: Learning feature matching with graph neural networks
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2020
Later among the works it cites.
Learning feature descriptors using camera pose supervision
Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, and Noah Snavely · 2020
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Tartanair: A dataset to push the limits of visual slam
Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, Yafei Hu, Ashish Kapoor, and Sebastian Scherer · 2020
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Falco: Fast likelihood-based collision avoidance with extension to human-guided navigation
Ji Zhang, Chen Hu, Rushat Gupta Chadha, and Sanjiv Singh · 2020
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Tp-tio: A robust thermal-inertial odometry with deep thermalpoint
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William E Hart, Carl D Laird, Jean-Paul Watson, David L Woodruff, Gabriel A Hackebeil, Bethany L Nicholson, John D Siirola, et al · 2017
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Openocl–open optimal control library, 2017
Jonas Koenemann, Giovanni Licitra, Mustafa Alp, and Moritz Diehl · 2017
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JAX: composable transformations of Python+NumPy programs, 2018
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Image segmentation using deep learning: A survey
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Idol: Inertial deep orientation-estimation and localization
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Far planner: Fast, attemptable route planner using dynamic visibility update
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Differentiable factor graph optimization for learning smoothers
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Imu data processing for inertial aided navigation: A recurrent neural network based approach
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Super odometry: Imu-centric lidar-visual-inertial estimator for challenging environments
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