mineysm's Stars
open-mmlab/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
TixiaoShan/LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
zju3dv/LoFTR
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
zju3dv/NeuralRecon
Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral
ADLab-AutoDrive/BEVFusion
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
hku-mars/IKFoM
A computationally efficient and convenient toolkit of iterated Kalman filter.
YuePanEdward/GH-ICP
GH-ICP: Iterative Closest Point algorithm with global optimal matching and hybrid metric [3DV' 18]
yewzijian/RPMNet
RPM-Net: Robust Point Matching using Learned Features (CVPR2020)
Tsinghua-MARS-Lab/futr3d
Code for paper: FUTR3D: a unified sensor fusion framework for 3d detection
w1oves/Rein
[CVPR 2024] Official implement of <Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation>
Gregjksmith/Iterative-Closest-Point
Implementation of the iterative closest point algorithm. A point cloud is transformed such that it best matches a reference point cloud.
jianzhnie/deep-marl-toolkit
MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...
chsl/PLADE
PLADE: A Plane-based Descriptor for Point Cloud Registration with Small Overlap
Seleucia/lstmkf_ICCV2017
Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization
Pamphlett/Segregator
[ICRA 2023] Segregator: Global Point Cloud Registration with Semantic and Geometric Cues
gkswamy98/fast_irl
Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.
kxhit/semantic-icp
fork from https://bitbucket.org/saparkison/semantic-icp/src
withtimesgo1115/3D-point-cloud-global-registration-based-on-RANSAC
In this case, implement RANSAC global registration algorithm using python without library
ChevronOne/pc_alignment_tools
Calibration of LiDAR-Sensors - PointCloud Alignment/Registration tools with PCL & ROS
Runjian-Chen/CO3
UP-RS-ESP/PointCloudWorkshop-May2022
Point Cloud and Change Detection in the Geoscience
prabinrath/dynamicslamtool
Source Code for the DATMO algorithm I developed during my Summer Internship @ University of Calgary
TerenceCYJ/4DContrast
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding, ECCV 2022
AndrosovAS/intvalpy
IntvalPy - a Python interval computation library
vincenzo0603/rangenet_lib_forTensorRT8XX
quan-dao/pc-corrector
This implementation of our paper "Aligning Bird-Eye View Representation of Point Cloud Sequences using Scene Flow" published in IEEE Intelligent Vehicles Symposium (IV) 2023"
MurpheyLab/FLS
FLS point cloud registration library.
beyoglubora/Kalman_Filter
This repo is my own implementation of the kalman filter with the kalman smoother and EM algorithm for EEG time series modeling
navoday01/Point-cloud-alignment-with-ICP
The project proposes Point Cloud registration using ICP (Iterative Closest Point ) algorithm for precise 3D model alignment.
singhmf/BPKF_Beta
Brain Model Estimation (M/EEG) using the Backpropagated Kalman Filter