Robotics_Qi's repositories
MIPSFusion
[SIGGRAPH Asia 2023] MIPSFusion is a neural SLAM method based on multi-implicit-submap representation for scalable online RGB-D reconstruction.
NeRF-LOAM
[ICCV2023] NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping
instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
LONER
[RA-L 2023] Official Code Release for LONER: LiDAR Only Neural Representations for Real-Time SLAM
BundleFusion_Ubuntu_Pangolin
a porting for BundleFusion working on ubuntu, with Pangolin as visualizer
pytorch-cpp
C++ Implementation of PyTorch Tutorials for Everyone
robotics
Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
neurad-studio
[CVPR2024] NeuRAD: Neural Rendering for Autonomous Driving
NeRF-Texture
[SIGGRAPH 2023, TPAMI 2024] Code for NeRF-Texture: Texture Synthesis with Neural Radiance Fields
MC-Calib
A generic and robust calibration toolbox for multi-camera systems
H2-Mapping
H2-Mapping: Real-time Dense Mapping Using Hierarchical Hybrid Representation (RAL 2023)
tiny-cuda-nn
Lightning fast C++/CUDA neural network framework
stdgpu
stdgpu: Efficient STL-like Data Structures on the GPU
cuda-efficient-features
A CUDA implementation of keypoint detection and descriptor extraction
MonoGS
[CVPR'24] Gaussian Splatting SLAM
r2live
R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.
NeRFpp
Neural radiance fields(NeRF) c++ LibTorch implementation
LiDAR-MOS
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
plvs
PLVS is a real-time SLAM system with points, lines, volumetric mapping and 3D unsupervised incremental segmentation.
isaac_ros_nvblox
Hardware-accelerated 3D scene reconstruction and Nav2 local costmap provider using nvblox
nvblox
A GPU-accelerated TSDF and ESDF library for robots equipped with RGB-D cameras.
Kimera-VIO
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.