Deep global features for point cloud alignment
Point cloud registration is a key problem in computer vision applications and involves finding
a rigid transform from a point cloud into another such that they align together. The iterative …
a rigid transform from a point cloud into another such that they align together. The iterative …
An Efficient Accelerator for Deep Learning-based Point Cloud Registration on FPGAs
K Sugiura, H Matsutani - 2023 31st Euromicro International …, 2023 - ieeexplore.ieee.org
Point cloud registration is the basis for many robotic applications such as odometry and
Simultaneous Localization And Mapping (SLAM), which are increasingly important for …
Simultaneous Localization And Mapping (SLAM), which are increasingly important for …
A deep neural network based MU-MIMO beamforming training protocol for IEEE 802.11 ay
MS Kim, T Ropitault, SK Lee, JH Choi… - Journal of …, 2022 - ieeexplore.ieee.org
IEEE 802.11 ay supports a multi-user multiple-input-multiple-output (MU-MIMO)
beamforming training (BFT); hence, an access point (AP) can perform data transmissions …
beamforming training (BFT); hence, an access point (AP) can perform data transmissions …
FPGA-Accelerated Correspondence-free Point Cloud Registration with PointNet Features
K Sugiura, H Matsutani - arXiv preprint arXiv:2404.01237, 2024 - arxiv.org
Point cloud registration serves as a basis for vision and robotic applications including 3D
reconstruction and mapping. Despite significant improvements on the quality of results …
reconstruction and mapping. Despite significant improvements on the quality of results …
Rethinking pointnet embedding for faster and compact model
T Suzuki, K Ozawa, Y Sekikawa - … International Conference on …, 2020 - ieeexplore.ieee.org
PointNet, which is the widely used point-wise embedding method and known as a universal
approximator for continuous set functions, can process one million points per second …
approximator for continuous set functions, can process one million points per second …