不以物喜不以己悲's repositories
colmap-pcd
Image-to-point cloud Registration Tool
SensorsCalibration
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
HowToLiveLonger
程序员延寿指南 | A programmer's guide to live longer
faster-lio
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
KITTI-pose-visualize-tool
A simple tool for visualising camera poses from KITTI dataset.
M-LOAM
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
livox_high_precision_mapping
High precision mapping with livox and apx-15
interactive_slam
Interactive Map Correction for 3D Graph SLAM
lidar_IMU_calib
Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
imu_gps_localization-1
Using error-state Kalman filter to fuse the IMU and GPS data for localization.
amcl3d
Adaptive Monte Carlo Localization (AMCL) in 3D.
robot_localization
robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.
floam
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping
radar_slam
A package for SLAM implementations using radar sensors.
depth_clustre_ros
Clustering Algorithm,Point Cloud Segmentation
google-research
Google Research
Visual_SLAM_Related_Research
视觉(语义) SLAM 相关研究跟踪
rtabmap
RTAB-Map library and standalone application
lidar_super_resolution
A package that increases the resolution of a lidar using a deep neural network that is trained on simulated data.
mola
A Modular Optimization framework for Localization and mApping (MOLA)
SC-LeGO-LOAM
LiDAR SLAM: Scan Context + LeGO-LOAM
2D-3D-pose-tracking
Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences
localization
Range based Localization ROS Package (IROS 2017)
AutomatedDrivingSeries
自动驾驶实战系列博客
PolarSeg
Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)
mono_lidar_depth
For extract depth from lidar for mono feature matches