HeteroFusion: Dense Scene Reconstruction Integrating Multi-Sensors
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Shi-Min Hu | Leif Kobbelt | Yu-Kun Lai | Minghua Liu | Beichen Li | Sheng Yang | Shimin Hu | L. Kobbelt | Yu-Kun Lai | Minghua Liu | Sheng Yang | Beichen Li
[1] SunXin,et al. Very High Frame Rate Volumetric Integration of Depth Images on Mobile Devices , 2015 .
[2] Ji Zhang,et al. Visual-lidar odometry and mapping: low-drift, robust, and fast , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[3] 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).
[4] Roberto Cipolla,et al. Understanding RealWorld Indoor Scenes with Synthetic Data , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Shi-Min Hu,et al. Real-time High-accuracy Three-Dimensional Reconstruction with Consumer RGB-D Cameras , 2018, ACM Trans. Graph..
[6] Tomás Svoboda,et al. Robust Data Fusion of Multimodal Sensory Information for Mobile Robots , 2015, J. Field Robotics.
[7] Thierry Peynot,et al. Reliable automatic camera-laser calibration , 2010, ICRA 2010.
[8] Michael Bosse,et al. Zebedee: Design of a Spring-Mounted 3-D Range Sensor with Application to Mobile Mapping , 2012, IEEE Transactions on Robotics.
[9] Duc Thanh Nguyen,et al. SceneNN: A Scene Meshes Dataset with aNNotations , 2016, 2016 Fourth International Conference on 3D Vision (3DV).
[10] Wolfram Burgard,et al. G2o: A general framework for graph optimization , 2011, 2011 IEEE International Conference on Robotics and Automation.
[11] Matthias Nießner,et al. BundleFusion , 2016, TOGS.
[12] Dan Wu,et al. Real-time 3D mapping using a 2D laser scanner and IMU-aided visual SLAM , 2017, 2017 IEEE International Conference on Real-time Computing and Robotics (RCAR).
[13] Matthias Nießner,et al. Real-time 3D reconstruction at scale using voxel hashing , 2013, ACM Trans. Graph..
[14] Simon Lacroix,et al. ICP-based pose-graph SLAM , 2016, 2016 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).
[15] Stefan Leutenegger,et al. ElasticFusion: Dense SLAM Without A Pose Graph , 2015, Robotics: Science and Systems.
[16] John J. Leonard,et al. Kintinuous: Spatially Extended KinectFusion , 2012, AAAI 2012.
[17] Shaojie Shen,et al. VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator , 2017, IEEE Transactions on Robotics.
[18] Timothy C. Havens,et al. Heterogeneous Multisensor Fusion for Mobile Platform Three-Dimensional Pose Estimation , 2017 .
[19] Andrew W. Fitzgibbon,et al. KinectFusion: Real-time dense surface mapping and tracking , 2011, 2011 10th IEEE International Symposium on Mixed and Augmented Reality.
[20] Derek D. Lichti,et al. IMU and Multiple RGB-D Camera Fusion for Assisting Indoor Stop-and-Go 3D Terrestrial Laser Scanning , 2014, Robotics.
[21] Olaf Kähler,et al. Real-Time Large-Scale Dense 3D Reconstruction with Loop Closure , 2016, ECCV.
[22] John J. Leonard,et al. Real-time large-scale dense RGB-D SLAM with volumetric fusion , 2014, Int. J. Robotics Res..
[23] Kun Zhou,et al. Online Structure Analysis for Real-Time Indoor Scene Reconstruction , 2015, ACM Trans. Graph..
[24] Leonidas J. Guibas,et al. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Sören Larsson,et al. Path planning for laser scanning with an industrial robot , 2008, Robotics Auton. Syst..
[26] Yang Gao,et al. Visual-LiDAR Odometry Aided by Reduced IMU , 2016, ISPRS Int. J. Geo Inf..
[27] John J. Leonard,et al. Robust real-time visual odometry for dense RGB-D mapping , 2013, 2013 IEEE International Conference on Robotics and Automation.
[28] Matthias Nießner,et al. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Ling Qin,et al. Three-Dimensional Indoor Mobile Mapping With Fusion of Two-Dimensional Laser Scanner and RGB-D Camera Data , 2014, IEEE Geoscience and Remote Sensing Letters.
[30] Ben Glocker,et al. Real-Time RGB-D Camera Relocalization via Randomized Ferns for Keyframe Encoding , 2015, IEEE Transactions on Visualization and Computer Graphics.
[31] Roland Siegwart,et al. Robust visual inertial odometry using a direct EKF-based approach , 2015, IROS 2015.
[32] J. M. M. Montiel,et al. ORB-SLAM: A Versatile and Accurate Monocular SLAM System , 2015, IEEE Transactions on Robotics.
[33] Gamini Dissanayake,et al. Convergence and Consistency Analysis for Extended Kalman Filter Based SLAM , 2007, IEEE Transactions on Robotics.
[34] John J. Leonard,et al. Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age , 2016, IEEE Transactions on Robotics.
[35] Wolfram Burgard,et al. A Tutorial on Graph-Based SLAM , 2010, IEEE Intelligent Transportation Systems Magazine.
[36] Jia Li,et al. Probabilistic Multi-Sensor Fusion Based Indoor Positioning System on a Mobile Device , 2015, Sensors.
[37] Wolfgang Hess,et al. Real-time loop closure in 2D LIDAR SLAM , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[38] Jeffrey K. Uhlmann,et al. New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.
[39] Andrew Zisserman,et al. Efficient additive kernels via explicit feature maps , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[40] Bin Chen,et al. Object-aware guidance for autonomous scene reconstruction , 2018, ACM Trans. Graph..
[41] Dorian Gálvez-López,et al. Real-time loop detection with bags of binary words , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[42] Wolfram Burgard,et al. Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters , 2007, IEEE Transactions on Robotics.
[43] Daniel Cremers,et al. Robust odometry estimation for RGB-D cameras , 2013, 2013 IEEE International Conference on Robotics and Automation.
[44] Olaf Kähler,et al. Very High Frame Rate Volumetric Integration of Depth Images on Mobile Devices , 2015, IEEE Transactions on Visualization and Computer Graphics.
[45] Peter C. Cheeseman,et al. Estimating uncertain spatial relationships in robotics , 1986, Proceedings. 1987 IEEE International Conference on Robotics and Automation.