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lio_sam_6axis

LIO_SAM for 6-axis IMU and low-cost GNSS.

liosam_liauto

Achieving relocalization and global real-time localization based on LIO-SAM in point cloud maps

loam_livox

A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR

loam_noted

loam code noted in Chinese（loam中文注解版）

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

loam_velodyne-1

Laser Odometry And Mapping (LOAM) SLAM ROS package for 3D Velodyne VLP-16 laser scanner

localization_in_auto_driving

lol

LOL: Lidar-only Odometry and Localization in 3D point cloud maps

lsd_slam

LSD-SLAM

lvi-sam

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

lvio_fusion

Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method (IROS 2021)

map_conversion

导航“前端”，将定位后的三维点云实时或离线三维到二维栅格化，并计算代价生成代价地图。

maplab

An open visual-inertial mapping framework.

mars-vins

MARS-VINS binary release repository基于单目双目和立体相机的紧耦合VIO比较研究

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

modelfusion2

Getting dense reconstruction based on kinfu_large_scale and orbslam2.

mono_dataset_code

Code for Monocular Visual Odometry Dataset - https://vision.cs.tum.edu/data/datasets/mono-dataset

monodepth

Unsupervised single image depth prediction with CNNs

move-base-ompl

ROS move-base planner plugin using ompl

msckf_vio

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

multi_sensor_fusion

Multi-Sensor Fusion (GNSS, IMU, Camera) 多源多传感器融合定位 GPS/INS组合导航 PPP/INS紧组合

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

mvsnet

MVSNet (ECCV2018) & R-MVSNet (CVPR2019)

ndt_mapping

ROS1 package of localization and mapping in Autoware

ndt_matching

3d ndt matching

ndt_omp

Multi-threaded and SSE friendly NDT algorithm

ndt_slam

NDT SLAM with 2D LiDAR

ndtpso_slam

ROS package for NDT-PSO, a 2D Laser scan matching algorithm for SLAM

nerf-slam

NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/abs/2210.01276

neural-slam

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"