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We present an uncertainty learning framework for dense neural simultaneous localization and mapping (SLAM).
Marching cubes: A high resolution 3d surface construction algorithm
William E Lorensen and Harvey E Cline · 1987
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Volumetric method for building complex models from range images
Brian Curless and Marc Levoy · 1996
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Bilateral filtering for gray and color images
Carlo Tomasi and Roberto Manduchi · 1998
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A time-of-flight depth sensor-system description, issues and solutions
S Burak Gokturk, Hakan Yalcin, and Cyrus Bamji · 2004
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Stereo processing by semiglobal matching and mutual information
Heiko Hirschmuller · 2007
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Multi-view image and tof sensor fusion for dense 3d reconstruction
Young Min Kim, Christian Theobalt, James Diebel, Jana Kosecka, Branislav Miscusik, and Sebastian Thrun · 2009
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Kinectfusion: Real-time dense surface mapping and tracking
Richard A Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J Davison, Pushmeet Kohli, Jamie Shotton, Steve Hodges, and Andrew W Fitzgibbon · 2011
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Dtam: Dense tracking and mapping in real-time
Richard A Newcombe, Steven J Lovegrove, and Andrew J Davison · 2011
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Capturing time-of-flight data with confidence
Malcolm Reynolds, Jozef Doboš, Leto Peel, Tim Weyrich, and Gabriel J Brostow · 2011
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Kinect depth sensor evaluation for computer vision applications
Michael Riis Andersen, Thomas Jensen, Pavel Lisouski, Anders Krogh Mortensen, Mikkel Kragh Hansen, Torben Gregersen, and PJAU Ahrendt · 2012
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Fusion of time-of-flight and stereo for disambiguation of depth measurements
Ouk Choi and Seungkyu Lee · 2012
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Probabilistic depth map fusion of kinect and stereo in real-time
Yong Duan, Mingtao Pei, and Yucheng Wang · 2012
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A benchmark for the evaluation of RGB-D SLAM systems
Jürgen Sturm, Nikolas Engelhard, Felix Endres, Wolfram Burgard, and Daniel Cremers · 2012
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Sensor fusion for depth estimation, including tof and thermal sensors
Jeroen Van Baar, Paul Beardsley, Marc Pollefeys, and Markus Gross · 2012
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Real-time rgb-d camera relocalization
Ben Glocker, Shahram Izadi, Jamie Shotton, and Antonio Criminisi · 2013
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Real-time 3d reconstruction at scale using voxel hashing
Matthias Nießner, Michael Zollhöfer, Shahram Izadi, and Marc Stamminger · 2013
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Gaussian assumption: The least favorable but the most useful [lecture notes]
Sangwoo Park, Erchin Serpedin, and Khalid Qaraqe · 2013
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Large-scale multi-resolution surface reconstruction from rgb-d sequences
F. Steinbrucker, C. Kerl, D. Cremers, and J. Sturm · 2013
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A benchmark for rgb-d visual odometry, 3d reconstruction and slam
Ankur Handa, Thomas Whelan, John McDonald, and Andrew J Davison · 2014
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Probabilistic tof and stereo data fusion based on mixed pixels measurement models
Carlo Dal Mutto, Pietro Zanuttigh, and Guido Maria Cortelazzo · 2015
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A unified probabilistic framework for real-time depth map fusion
Yong Duan, Mingtao Pei, Yucheng Wang, Min Yang, Iameng Qin, and Yunde Jia · 2015
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Fusion of range and stereo data for high-resolution scene-modeling
Georgios D Evangelidis, Miles Hansard, and Radu Horaud · 2015
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Very high frame rate volumetric integration of depth images on mobile devices
Olaf Kähler, Victor Adrian Prisacariu, Carl Yuheng Ren, Xin Sun, Philip H. S. Torr, and David William Murray · 2015
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Anisotropic point-based fusion
Damien Lefloch, Tim Weyrich, and Andreas Kolb · 2015
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Robust online 3d reconstruction combining a depth sensor and sparse feature points
E. Bylow, C. Olsson, and F. Kahl · 2016
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Real-time probabilistic fusion of sparse 3d lidar and dense stereo
Will Maddern and Paul Newman · 2016
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Reliable fusion of tof and stereo depth driven by confidence measures
Giulio Marin, Pietro Zanuttigh, and Stefano Mattoccia · 2016
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Deep stereo fusion: combining multiple disparity hypotheses with deep-learning
Matteo Poggi and Stefano Mattoccia · 2016
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Learning from scratch a confidence measure
Matteo Poggi and Stefano Mattoccia · 2016
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Patch based confidence prediction for dense disparity map
Akihito Seki and Marc Pollefeys · 2016
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Deep learning for confidence information in stereo and tof data fusion
Gianluca Agresti, Ludovico Minto, Giulio Marin, and Pietro Zanuttigh · 2017
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Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface reintegration
Angela Dai, Matthias Nießner, Michael Zollhöfer, Shahram Izadi, and Christian Theobalt · 2017
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What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Deepc-mvs: Deep confidence prediction for multi-view stereo reconstruction
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, and Friedrich Fraundorfer · 2020
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2020
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Don’t forget the past: Recurrent depth estimation from monocular video
Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, and Luc Van Gool · 2020
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Convolutional Occupancy Networks
Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, and Andreas Geiger · 2020
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On the uncertainty of self-supervised monocular depth estimation
Matteo Poggi, Filippo Aleotti, Fabio Tosi, and Stefano Mattoccia · 2020
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Alex Kendall and Yarin Gal · 2017
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Voxblox: Incremental 3d euclidean signed distance fields for on-board MAV planning
Helen Oleynikova, Zachary Taylor, Marius Fehr, Roland Siegwart, and Juan I. Nieto · 2017
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Estimation of measurement uncertainty in stereo vision system
Wojciech Sankowski, M Włodarczyk, Damian Kacperski, and Kamil Grabowski · 2017
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Real-time high-accuracy three-dimensional reconstruction with consumer rgb-d cameras
Yan-Pei Cao, Leif Kobbelt, and Shi-Min Hu · 2018
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Pyramid stereo matching network
Jia-Ren Chang and Yong-Sheng Chen · 2018
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Psdf fusion: Probabilistic signed distance function for on-the-fly 3d data fusion and scene reconstruction
Wei Dong, Qiuyuan Wang, Xin Wang, and Hongbin Zha · 2018
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Supervising the new with the old: learning sfm from sfm
Maria Klodt and Andrea Vedaldi · 2018
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Silvan Weder, Johannes L. Schönberger, Marc Pollefeys, and Martin R. Oswald · 2020
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D3vo: Deep depth, deep pose and deep uncertainty for monocular visual odometry
Nan Yang, Lukas von Stumberg, Rui Wang, and Daniel Cremers · 2020
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Noise-resilient reconstruction of panoramas and 3d scenes using robot-mounted unsynchronized commodity rgb-d cameras
Sheng Yang, Beichen Li, Yan-Pei Cao, Hongbo Fu, Yu-Kun Lai, Leif Kobbelt, and Shi-Min Hu · 2020
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A review of uncertainty quantification in deep learning: Techniques, applications and challenges
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, and Saeid Nahavandi · 2021
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Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
Gwangbin Bae, Ignas Budvytis, and Roberto Cipolla · 2021
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ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial, and Multimap SLAM
Carlos Campos, Richard Elvira, Juan J.Gomez Rodriguez, Jose M.M. Montiel, and Juan D. Tardos · 2021
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Tof and stereo data fusion using dynamic search range stereo matching
Yong Deng, Jimin Xiao, and Steven Zhiying Zhou · 2021
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Di-fusion: Online implicit 3d reconstruction with deep priors
Jiahui Huang, Shi-Sheng Huang, Haoxuan Song, and Shi-Min Hu · 2021
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NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi S.M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
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iMAP: Implicit Mapping and Positioning in Real-Time
Edgar Sucar, Shikun Liu, Joseph Ortiz, and Andrew J. Davison · 2021
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Neuralfusion: Online depth fusion in latent space
Silvan Weder, Johannes L Schonberger, Marc Pollefeys, and Martin R Oswald · 2021
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Digging into uncertainty in self-supervised multi-view stereo
Hongbin Xu, Zhipeng Zhou, Yali Wang, Wenxiong Kang, Baigui Sun, Hao Li, and Yu Qiao · 2021
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Continual neural mapping: Learning an implicit scene representation from sequential observations
Zike Yan, Yuxin Tian, Xuesong Shi, Ping Guo, Peng Wang, and Hongbin Zha · 2021
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A confidence-based iterative solver of depths and surface normals for deep multi-view stereo
Wang Zhao, Shaohui Liu, Yi Wei, Hengkai Guo, and Yong-Jin Liu · 2021
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IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty
Gwangbin Bae, Ignas Budvytis, and Roberto Cipolla · 2022
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Eslam: Efficient dense slam system based on hybrid representation of signed distance fields
Mohammad Mahdi Johari, Camilla Carta, and François Fleuret · 2022
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Learning Online Multi-Sensor Depth Fusion
Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, and Luc Van Gool · 2022
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Simplerecon: 3d reconstruction without 3d convolutions
Mohamed Sayed, John Gibson, Jamie Watson, Victor Prisacariu, Michael Firman, and Clément Godard · 2022
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Uncertainty guided multi-view stereo network for depth estimation
Wanjuan Su, Qingshan Xu, and Wenbing Tao · 2022
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Vox-fusion: Dense tracking and mapping with voxel-based neural implicit representation
Xingrui Yang, Hai Li, Hongjia Zhai, Yuhang Ming, Yuqian Liu, and Guofeng Zhang · 2022
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Nice-slam: Neural implicit scalable encoding for slam
Zihan Zhu, Songyou Peng, Viktor Larsson, Weiwei Xu, Hujun Bao, Zhaopeng Cui, Martin R Oswald, and Marc Pollefeys · 2022
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Nicer-slam: Neural implicit scene encoding for rgb slam
Zihan Zhu, Songyou Peng, Viktor Larsson, Zhaopeng Cui, Martin R Oswald, Andreas Geiger, and Marc Pollefeys · 2023
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