dzy130120 Goto Github PK

bag2video

Convert images in a rosbag to a video

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

cyberdog_ros2

ROS 2 packages for CyberDog

ds-slam

fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

freechat

致力于打造macOS和Linux桌面下最好用的微信（wechat）客户端

gcnv2_slam

Real-time SLAM system with deep features

harmonyos

鸿蒙系统资料。Docs about HarmonyOS.

hfnet

From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)

hfnet_ros

A cpp or ROS Warpper of HF-NET inference part (https://github.com/ethz-asl/hfnet)

hierarchical-localization

Visual localization made easy with hloc

hybrid-a-star-annotation

Hybrid A*路径规划器的代码注释

ikd-tree

This repository provides implementation of an incremental k-d tree for robotic applications.

ikfom

A computationally efficient and convenient toolkit of iterated Kalman filter.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lantern

蓝灯Windows下载 https://raw.githubusercontent.com/getlantern/lantern-binaries/master/lantern-installer.exe 蓝灯安卓下载 https://raw.githubusercontent.com/getlantern/lantern-binaries/master/lantern-installer.apk

learnviorb

lidar_align

A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor

lidar_imu_calib

Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation

lio-mapping

Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

lio-sam

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

lio-sam_based_relocalization

A simple system that can relocalize a robot on a built map is developed in this system. The system is based on LIO-SAM.

loam_velodyne

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

lprnet_pytorch

Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.

lvi-sam

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

mcptam

MCPTAM is a set of ROS nodes for running Real-time 3D Visual Simultaneous Localization and Mapping (SLAM) using Multi-Camera Clusters. It includes tools for calibrating both the intrinsic and extrinsic parameters of the individual cameras within the rigid camera rig.

megba

A High-Performance Distributed Library for Large-Scale Bundle Adjustment

mlpack

mlpack: a fast, header-only C++ machine learning library

multicol-slam

myslam

a project for SLAM