Pinned Repositories
3d_labeling_tools
g2opy
Python binding of SLAM graph optimization framework g2o. Added Plane3D Types.
open3d_graph_slam
PyLOAM
Python implementation of LOAM (Lidar Odometry and Mapping) for rapid prototyping or educational purpose
python-3D-LIDAR-Graph-SLAM
3D LIDAR Pose Graph SLAM using python, open3d, g2opy and pangolin
pytorch-LONet
Pytorch / ROS implementation of LO-Net: Deep Real-time Lidar Odometry
rgbd_ptam
Python implementation of RGBD-PTAM algorithm
semantic_suma
Semantic Mapping using Surfel Mapping and Semantic Segmentation (Chen et al IROS 2019)
stereo_ptam
Python implementation of SLAM algorithm Stereo-PTAM
VOLDOR
VOLDOR-SLAM is a real-time dense-indirect SLAM system takes dense optical flows as input that supports monocular, stereo and RGB-D video sequence.
PythonLidar's Repositories
PythonLidar/open3d_graph_slam
PythonLidar/python-3D-LIDAR-Graph-SLAM
3D LIDAR Pose Graph SLAM using python, open3d, g2opy and pangolin
PythonLidar/VOLDOR
VOLDOR-SLAM is a real-time dense-indirect SLAM system takes dense optical flows as input that supports monocular, stereo and RGB-D video sequence.
PythonLidar/FAST_LIO_LOCALIZATION
A simple localization framework that can re-localize in built maps based on FAST-LIO.
PythonLidar/g2opy
Python binding of SLAM graph optimization framework g2o. Added Plane3D Types.
PythonLidar/PyLOAM
Python implementation of LOAM (Lidar Odometry and Mapping) for rapid prototyping or educational purpose
PythonLidar/pyroutelib3
Routing on OSM data in Python 3
PythonLidar/python-pcl
Python bindings to the pointcloud library (pcl)
PythonLidar/3DLineDetection
A simple and efficient 3D line detection algorithm for large scale unorganized point cloud
PythonLidar/cupoch
Robotics with GPU computing
PythonLidar/curl
A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET, TFTP, WS and WSS. libcurl offers a myriad of powerful features
PythonLidar/eagleye
Precise localization based on GNSS and IMU.
PythonLidar/fast_gicp
A collection of GICP-based fast point cloud registration algorithms
PythonLidar/FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
PythonLidar/faster-lio
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
PythonLidar/gnss_compass_ros
ROS1 Package to calculate position and orientation using two gnss receivers.
PythonLidar/imu_gnss_eskf
An ESKF algorithm for fusing IMU and GNSS data
PythonLidar/imu_gps_localization
Using error-state Kalman filter to fuse the IMU and GPS data for localization.
PythonLidar/imu_utils
A ROS package tool to analyze the IMU performance.
PythonLidar/laika
Simple Python GNSS processing library
PythonLidar/li_slam_ros2
ROS2 package of tightly-coupled lidar inertial ndt/gicp slam referenced from LIO-SAM
PythonLidar/minisam
A general and flexible factor graph non-linear least square optimization framework
PythonLidar/nmea_navsat_driver
ROS package containing drivers for NMEA devices that can output satellite navigation data (e.g. GPS or GLONASS).
PythonLidar/pcrnet_pytorch
This is a pytorch implementation of PCRNet
PythonLidar/PyTrack
a Map-Matching-based Python Toolbox for Vehicle Trajectory Reconstruction
PythonLidar/robot_laser_grid_mapping
Log odds mapping where the robot pose is known. Works with ROS1.
PythonLidar/ros_rslidar
ROS drvier for RS-LiDAR-16 and RS-LiDAR-32
PythonLidar/semantic-segmentation-editor
Web labeling tool for bitmap images and point clouds
PythonLidar/spatio_temporal_voxel_layer
A new voxel layer leveraging modern 3D graphics tools to modernize navigation environmental representations
PythonLidar/torch-points3d
Pytorch framework for doing deep learning on point clouds.