暂无分享,去创建一个
Michael Kaess | Kwonyoung Ryu | Jaesik Park | Wei Dong | M. Kaess | Jaesik Park | W. Dong | Kwonyoung Ryu
[1] Brendan Englot,et al. LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[2] Long Quan,et al. D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Simon Lucey,et al. Argoverse: 3D Tracking and Forecasting With Rich Maps , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Marc Pollefeys,et al. Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark , 2017, ArXiv.
[5] Vladlen Koltun,et al. Robust reconstruction of indoor scenes , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Donald Meagher,et al. Geometric modeling using octree encoding , 1982, Comput. Graph. Image Process..
[7] Jonathan T. Barron,et al. A General and Adaptive Robust Loss Function , 2017, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Andrew W. Fitzgibbon,et al. KinectFusion: Real-time dense surface mapping and tracking , 2011, 2011 10th IEEE International Symposium on Mixed and Augmented Reality.
[9] Matthias Nießner,et al. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] 大卫·S·霍尔. High definition lidar system , 2007 .
[11] Stefan Leutenegger,et al. ElasticFusion: Dense SLAM Without A Pose Graph , 2015, Robotics: Science and Systems.
[12] Wolfram Burgard,et al. OctoMap: an efficient probabilistic 3D mapping framework based on octrees , 2013, Autonomous Robots.
[13] Roland Siegwart,et al. C-blox: A Scalable and Consistent TSDF-based Dense Mapping Approach , 2017, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[14] Andreas Geiger,et al. Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Marc Levoy,et al. A volumetric method for building complex models from range images , 1996, SIGGRAPH.
[16] Radu Bogdan Rusu,et al. 3D is here: Point Cloud Library (PCL) , 2011, 2011 IEEE International Conference on Robotics and Automation.
[17] William E. Lorensen,et al. Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.
[18] Hongbin Zha,et al. An Efficient Volumetric Mesh Representation for Real-Time Scene Reconstruction Using Spatial Hashing , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[19] Yue Wang,et al. Deep Closest Point: Learning Representations for Point Cloud Registration , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[20] Marc Levoy,et al. Efficient variants of the ICP algorithm , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.
[21] Minsu Cho,et al. Deep Hough Voting for Robust Global Registration , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[22] Matthias Nießner,et al. Real-time 3D reconstruction at scale using voxel hashing , 2013, ACM Trans. Graph..
[23] Vladlen Koltun,et al. ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception , 2021, ArXiv.
[24] Cyrill Stachniss,et al. Fast range image-based segmentation of sparse 3D laser scans for online operation , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[25] Vladlen Koltun,et al. Deep Global Registration , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Cyrill Stachniss,et al. Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments , 2018, Robotics: Science and Systems.
[27] Qiang Xu,et al. nuScenes: A Multimodal Dataset for Autonomous Driving , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Cyrill Stachniss,et al. Range Image-based LiDAR Localization for Autonomous Vehicles , 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).
[29] Jon Louis Bentley,et al. Multidimensional binary search trees used for associative searching , 1975, CACM.
[30] Vladlen Koltun,et al. Open3D: A Modern Library for 3D Data Processing , 2018, ArXiv.
[31] Jonathan Li,et al. Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[32] Daniel Cremers,et al. Dense visual SLAM for RGB-D cameras , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[33] Anne Verroust-Blondet,et al. 3D Surface Reconstruction from Voxel-based Lidar Data , 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).
[34] Michael Kaess,et al. GPU Accelerated Robust Scene Reconstruction , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[35] Tim Weyrich,et al. Real-Time 3D Reconstruction in Dynamic Scenes Using Point-Based Fusion , 2013, 2013 International Conference on 3D Vision.
[36] Paul J. Besl,et al. A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[37] Sridha Sridharan,et al. Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[38] Vladlen Koltun,et al. High-Dimensional Convolutional Networks for Geometric Pattern Recognition , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Vladlen Koltun,et al. Colored Point Cloud Registration Revisited , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[40] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[41] Roland Siegwart,et al. Voxblox: Incremental 3D Euclidean Signed Distance Fields for on-board MAV planning , 2016, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[42] 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.
[43] Wolfgang Hess,et al. Real-time loop closure in 2D LIDAR SLAM , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).