zoe4751's repositories
faster-lio
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
NTU4DRadLM
NTU 4D Radar-centric Multi-Modal Dataset for Localization and Mapping (NTU4DRadLM)
3D-plane-segmentation
Collection of dockerized plane extraction methods for 3D data
Awesome-Ultrasound-Standard-Plane-Detection
A curated list of awesome ultrasound standard/diagnostic plane detection/localization/localisation/extraction/classification/selection/identification/recognition.
bag2dataset
ROS下自制TUM数据集, ros bag to tum dataset
cloud-plane-seg
A tool for iterative large plane segmentation/removal in (indoor) point clouds based on PCL SAC segmentation.
DDPFF
Plane Segmentation Using Depth Dependent Flood Fill
FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
ICRA2021-paper-list
http://www.icra2021.org/
Kimera-Semantics
Real-Time 3D Semantic Reconstruction from 2D data
Kimera-VIO-Evaluation
Code to automatically evaluate and tune parameters for Kimera-VIO pipeline.
liorf
This repo is modified based on LIO_SAM, which remove the feature extraction module and makes it easier to adapt your sensor.
liorf_localization
A simple location system based on a priori map, which is based on the lio-sam framework
ManhattanSLAM
A Planar RGB-D SLAM which utilizes Manhattan World structure to provide optimal camera pose trajectory while also providing a sparse reconstruction containing points, lines and planes, and a dense surfel-based reconstruction.
ndt_localizer
A simple, clean NDT licalization ROS package.
peac
Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)
PEAC11
Source code for 2014 ICRA paper "Fast Plane Extraction in Organized Point Clouds Using Agglomerative Hierarchical Clustering"
PlanarSLAM
A RGB-D SLAM system for structural scenes, which makes use of point-line-plane features and the Manhattan World assumption.
PlanarSLAM_ros
ros环境下运行PlanarSLAM
Plane-based-SLAM
This is a SLAM algorithm combining plane features and point features.
r3live
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
rgbd_plane_slam
RGB-D SLAM in Indoor Environments With STING-Based Plane Feature Extraction
SC-LIO-SAM
LiDAR-inertial SLAM: Scan Context + LIO-SAM
slam_in_autonomous_driving
《自动驾驶中的SLAM技术》对应开源代码
SP-SLAM
Point-Plane SLAM Using Supposed Planes for Indoor Environments
Structure-SLAM-PointLine
This is a basic point-line SLAM system based on ORBSLAM2.