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3D pose estimation with one plane correspondence using kinect and IMU., , , и . IROS, стр. 1970-1975. IEEE, (2015)Towards a Realistic Indoor World Reconstruction: Preliminary Results for an Object-Oriented 3D RGB-D Mapping., , , , , и . Intell. Autom. Soft Comput., 23 (2): 207-218 (2017)Accurate Continuous Sweeping Framework in Indoor Spaces With Backpack Sensor System for Applications to 3-D Mapping., , , , , , , , , и 2 other автор(ы). IEEE Robotics Autom. Lett., 1 (1): 316-323 (2016)Detection and utilization of vertical intersection in feature-less environment with RGB-depth sensor., , и . URAI, стр. 537-540. IEEE, (2015)Robust-PCA-based hierarchical plane extraction for application to geometric 3D indoor mapping., , , , , и . Ind. Robot, 41 (2): 203-212 (2014)Detection and Compensation of Degeneracy Cases for IMU-Kinect Integrated Continuous SLAM with Plane Features., , , и . Sensors, 18 (4): 935 (2018)SpoxelNet: Spherical Voxel-based Deep Place Recognition for 3D Point Clouds of Crowded Indoor Spaces., , , и . IROS, стр. 8564-8570. IEEE, (2020)A Single Correspondence Is Enough: Robust Global Registration to Avoid Degeneracy in Urban Environments., , , , , , , , и . ICRA, стр. 8010-8017. IEEE, (2022)Large-Scale Localization Datasets in Crowded Indoor Spaces., , , , , , , , , и 1 other автор(ы). CVPR, стр. 3227-3236. Computer Vision Foundation / IEEE, (2021)