暂无分享,去创建一个
[1] Bernhard P. Wrobel,et al. Multiple View Geometry in Computer Vision , 2001 .
[2] Yee Whye Teh,et al. Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects , 2018, NeurIPS.
[3] Davide Scaramuzza,et al. SVO: Fast semi-direct monocular visual odometry , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[4] Dimitri P. Bertsekas,et al. Dynamic Programming and Optimal Control, Two Volume Set , 1995 .
[5] Maximilian Karl,et al. Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data , 2016, ICLR.
[6] Wolfram Burgard,et al. Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.
[7] Maryam Fatemi,et al. Variational Bayesian EM for SLAM , 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).
[8] Wolfram Burgard,et al. OctoMap: an efficient probabilistic 3D mapping framework based on octrees , 2013, Autonomous Robots.
[9] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[10] Patrick van der Smagt,et al. Unsupervised Real-Time Control Through Variational Empowerment , 2017, ISRR.
[11] John J. Leonard,et al. Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age , 2016, IEEE Transactions on Robotics.
[12] Davide Scaramuzza,et al. VIMO: Simultaneous Visual Inertial Model-Based Odometry and Force Estimation , 2019, IEEE Robotics and Automation Letters.
[13] Davide Scaramuzza,et al. A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[14] Stefan Leutenegger,et al. SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Sertac Karaman,et al. The Blackbird Dataset: A large-scale dataset for UAV perception in aggressive flight , 2018, ISER.
[16] Justin Bayer,et al. Variational Tracking and Prediction with Generative Disentangled State-Space Models , 2019, ArXiv.
[17] Juan Carlos Niebles,et al. Learning to Decompose and Disentangle Representations for Video Prediction , 2018, NeurIPS.
[18] Sebastian Thrun,et al. FastSLAM: a factored solution to the simultaneous localization and mapping problem , 2002, AAAI/IAAI.
[19] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[20] Nir Friedman,et al. Probabilistic Graphical Models - Principles and Techniques , 2009 .
[21] Dustin Tran,et al. Simple, Distributed, and Accelerated Probabilistic Programming , 2018, NeurIPS.
[22] Andrew J. Davison,et al. DTAM: Dense tracking and mapping in real-time , 2011, 2011 International Conference on Computer Vision.
[23] Kevin P. Murphy,et al. Bayesian Map Learning in Dynamic Environments , 1999, NIPS.
[24] Michael I. Jordan,et al. An Introduction to Variational Methods for Graphical Models , 1999, Machine Learning.
[25] Ole Winther,et al. Sequential Neural Models with Stochastic Layers , 2016, NIPS.
[26] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.
[27] Yoshua Bengio,et al. Large-Scale Learning of Embeddings with Reconstruction Sampling , 2011, ICML.
[28] Wolfram Burgard,et al. Neural SLAM: Learning to Explore with External Memory , 2017, 1706.09520.
[29] Thomas Brox,et al. DeepTAM: Deep Tracking and Mapping , 2018, ECCV.
[30] Fabio Viola,et al. Generative Temporal Models with Spatial Memory for Partially Observed Environments , 2018, ICML.
[31] Andrew W. Fitzgibbon,et al. KinectFusion: Real-time dense surface mapping and tracking , 2011, 2011 10th IEEE International Symposium on Mixed and Augmented Reality.
[32] Andrew W. Fitzgibbon,et al. Bundle Adjustment - A Modern Synthesis , 1999, Workshop on Vision Algorithms.
[33] Hugh Durrant-Whyte,et al. Localization of Autonomous Guided Vehicles , 1996 .
[34] Heiko Hirschmüller,et al. Stereo Processing by Semiglobal Matching and Mutual Information , 2008, IEEE Trans. Pattern Anal. Mach. Intell..
[35] Stefan Leutenegger,et al. CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[36] Shaojie Shen,et al. VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator , 2017, IEEE Transactions on Robotics.
[37] Christopher Hunt,et al. Notes on the OpenSURF Library , 2009 .
[38] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[39] Xiaoyue Jiang,et al. Robust Linear-Complexity Approach to Full SLAM Problems: Stochastic Variational Bayes Inference , 2019, 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall).
[40] Wolfram Burgard,et al. Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) , 2005 .
[41] Juan D. Tardós,et al. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras , 2016, IEEE Transactions on Robotics.
[42] Lennart Svensson,et al. Variational Bayesian Expectation Maximization for Radar Map Estimation , 2016, IEEE Transactions on Signal Processing.
[43] Hans P. Moravec,et al. High resolution maps from wide angle sonar , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.
[44] Julien Cornebise,et al. Weight Uncertainty in Neural Networks , 2015, ArXiv.
[45] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Jörg Stückler,et al. Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry , 2018, ECCV.
[47] Justin Bayer,et al. Approximate Bayesian inference in spatial environments , 2018, Robotics: Science and Systems.
[48] Fabio Tozeto Ramos,et al. Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping , 2017, CoRL.
[49] Ethan Rublee,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.
[50] Daniel Cremers,et al. Direct Sparse Odometry , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[51] Dorian Gálvez-López,et al. Bags of Binary Words for Fast Place Recognition in Image Sequences , 2012, IEEE Transactions on Robotics.
[52] Ganesh Iyer,et al. ∇SLAM: Dense SLAM meets Automatic Differentiation , 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).