Fast ORB-SLAM without Keypoint Descriptors.
暂无分享,去创建一个
Zhengeng Yang | Hongshan Yu | Ajmal Mian | Xiaolong Wang | Qiang Fu | Yong He | Hong Zhang
[1] Stefan Leutenegger,et al. Fusion++: Volumetric Object-Level SLAM , 2018, 2018 International Conference on 3D Vision (3DV).
[2] Torsten Sattler,et al. BAD SLAM: Bundle Adjusted Direct RGB-D SLAM , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Dinesh Atchuthan,et al. A micro Lie theory for state estimation in robotics , 2018, ArXiv.
[4] Andrew J. Davison,et al. A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[5] Ken Sakurada,et al. OpenVSLAM: A Versatile Visual SLAM Framework , 2019, ACM Multimedia.
[6] Javier Civera,et al. DynaSLAM: Tracking, Mapping, and Inpainting in Dynamic Scenes , 2018, IEEE Robotics and Automation Letters.
[7] Dorian Gálvez-López,et al. Bags of Binary Words for Fast Place Recognition in Image Sequences , 2012, IEEE Transactions on Robotics.
[8] Shilin Zhou,et al. BoCNF: efficient image matching with Bag of ConvNet features for scalable and robust visual place recognition , 2018, Auton. Robots.
[9] Hongmin Liu,et al. Deep Unsupervised Binary Descriptor Learning Through Locality Consistency and Self Distinctiveness , 2021, IEEE Transactions on Multimedia.
[10] Yasuyuki Matsushita,et al. GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Hironobu Fujiyoshi,et al. Coarse-to-Fine Deep Orientation Estimator for Local Image Matching , 2019, ACPR.
[12] Kurt Konolige,et al. Double window optimisation for constant time visual SLAM , 2011, 2011 International Conference on Computer Vision.
[13] Jörg Stückler,et al. Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry , 2018, ECCV.
[14] Wolfram Burgard,et al. A benchmark for the evaluation of RGB-D SLAM systems , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[15] Thomas Brox,et al. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Paul Newman,et al. NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Daniel Cremers,et al. Direct Sparse Odometry , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Qianqian Zhang,et al. Features Combined Binary Descriptor Based on Voted Ring-Sampling Pattern , 2020, IEEE Transactions on Circuits and Systems for Video Technology.
[19] Yangang Wang,et al. SRHandNet: Real-Time 2D Hand Pose Estimation With Simultaneous Region Localization , 2019, IEEE Transactions on Image Processing.
[20] Ross B. Girshick,et al. Mask R-CNN , 2017, 1703.06870.
[21] Nan Yang,et al. D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Jianping Shi,et al. CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[23] Jörg Stückler,et al. Visual-Inertial Mapping With Non-Linear Factor Recovery , 2019, IEEE Robotics and Automation Letters.
[24] John J. Leonard,et al. Kintinuous: Spatially Extended KinectFusion , 2012, AAAI 2012.
[25] Eijiro Takeuchi,et al. Monocular Vision-Based Localization Using ORB-SLAM with LIDAR-Aided Mapping in Real-World Robot Challenge , 2016, J. Robotics Mechatronics.
[26] Gary R. Bradski,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.
[27] Gavin Brown,et al. ORB-SLAM-CNN: Lessons in Adding Semantic Map Construction to Feature-Based SLAM , 2019, TAROS.
[28] Weinan Chen,et al. A Comparison of CNN-Based and Hand-Crafted Keypoint Descriptors , 2019, 2019 International Conference on Robotics and Automation (ICRA).
[29] Davide Scaramuzza,et al. SVO: Fast semi-direct monocular visual odometry , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[30] Matthias Nießner,et al. BundleFusion , 2016, TOGS.
[31] Xiaoou Tang,et al. LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[32] Daniel Cremers,et al. Direct Sparse Visual-Inertial Odometry Using Dynamic Marginalization , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[33] Yipu Zhao,et al. Low-latency Visual SLAM with Appearance-Enhanced Local Map Building , 2019, 2019 International Conference on Robotics and Automation (ICRA).
[34] Jiyu Cheng,et al. Improving monocular visual SLAM in dynamic environments: an optical-flow-based approach , 2019, Adv. Robotics.
[35] Wei Sun,et al. A Robust RGB-D SLAM System With Points and Lines for Low Texture Indoor Environments , 2019, IEEE Sensors Journal.
[36] Stefan Leutenegger,et al. ElasticFusion: Real-time dense SLAM and light source estimation , 2016, Int. J. Robotics Res..
[37] Federico Tombari,et al. CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Jiwen Lu,et al. Unsupervised Deep Learning of Compact Binary Descriptors , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[39] Daniel Cremers,et al. Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[40] Yoshihiko Nakamura,et al. FlowFusion: Dynamic Dense RGB-D SLAM Based on Optical Flow , 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[41] J. M. M. Montiel,et al. ORB-SLAM: A Versatile and Accurate Monocular SLAM System , 2015, IEEE Transactions on Robotics.
[42] Jörg Stückler,et al. Direct Sparse Odometry with Rolling Shutter , 2018, ECCV.
[43] Mingui Sun,et al. Robust Robot Pose Estimation for Challenging Scenes With an RGB-D Camera , 2019, IEEE Sensors Journal.
[44] Wolfram Burgard,et al. G2o: A general framework for graph optimization , 2011, 2011 IEEE International Conference on Robotics and Automation.
[45] Evgeni Magid,et al. Comparative analysis of ROS-based monocular SLAM methods for indoor navigation , 2017, International Conference on Machine Vision.
[46] Javier Gonzalez-Jimenez,et al. PL-SLAM: A Stereo SLAM System Through the Combination of Points and Line Segments , 2017, IEEE Transactions on Robotics.
[47] Nanning Zheng,et al. Visual Semantic SLAM with Landmarks for Large-Scale Outdoor Environment , 2020, ArXiv.
[48] Gang Xu,et al. Epipolar Geometry in Stereo, Motion and Object Recognition , 1996, Computational Imaging and Vision.
[49] Juan D. Tardós,et al. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras , 2016, IEEE Transactions on Robotics.
[50] Syamsiah Mashohor,et al. CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[51] Jonathan Krynitsky,et al. Three-Dimensional Pose Estimation for Laboratory Mouse From Monocular Images , 2019, IEEE Transactions on Image Processing.
[52] Pascal Fua,et al. A Performance Evaluation of Local Features for Image-Based 3D Reconstruction , 2017, IEEE Transactions on Image Processing.
[53] Jiwen Lu,et al. Efficient nearest neighbor search in high dimensional hamming space , 2020, Pattern Recognit..
[54] Jiwen Lu,et al. Learning Deep Binary Descriptor with Multi-Quantization , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[55] Richard Elvira,et al. ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM , 2021, IEEE Transactions on Robotics.
[56] Qi Wei,et al. DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[57] Wei Yang,et al. DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features , 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[58] G. Klein,et al. Parallel Tracking and Mapping for Small AR Workspaces , 2007, 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality.
[59] J. Alex Stark,et al. Adaptive image contrast enhancement using generalizations of histogram equalization , 2000, IEEE Trans. Image Process..
[60] Shaojie Shen,et al. A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors , 2019, ArXiv.
[61] Lu Fang,et al. Real-Time Global Registration for Globally Consistent RGB-D SLAM , 2019, IEEE Transactions on Robotics.
[62] Daniel Cremers,et al. Dense visual SLAM for RGB-D cameras , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[63] Michael R. Lyu,et al. SelFlow: Self-Supervised Learning of Optical Flow , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[64] Michael Gassner,et al. SVO: Semidirect Visual Odometry for Monocular and Multicamera Systems , 2017, IEEE Transactions on Robotics.
[65] Tao Zhang,et al. Vision-Based Pose Estimation From Points With Unknown Correspondences , 2014, IEEE Transactions on Image Processing.
[66] Chunlong He,et al. Kalman-Filter-Based Integration of IMU and UWB for High-Accuracy Indoor Positioning and Navigation , 2020, IEEE Internet of Things Journal.
[67] Hong Zhang,et al. Combining Multiple Image Descriptions for Loop Closure Detection , 2018, J. Intell. Robotic Syst..
[68] Wolfram Burgard,et al. 3-D Mapping With an RGB-D Camera , 2014, IEEE Transactions on Robotics.
[69] Shaojie Shen,et al. VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator , 2017, IEEE Transactions on Robotics.
[70] Daniel Cremers,et al. LDSO: Direct Sparse Odometry with Loop Closure , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[71] Hak-Keung Lam,et al. Joint optimization based on direct sparse stereo visual-inertial odometry , 2020, Auton. Robots.