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slam_and_path_planning_algorithms

This repository contains the solutions to all the exercises for the MOOC about SLAM and PATH-PLANNING algorithms given by professor Claus Brenner at Leibniz University. This repository also contains my personal notes, most of them in PDF format, and many vector graphics created by myself to illustrate the theoretical concepts. Hope you enjoy it! :)

slam_dso

DSO in windos: we modify many places to put dso under windos enviroments.

slam_gx

my slam program, based on g2o, opencv and pcl. Trying to run it in Turtlebot.

slam_ws

利用mrpt库实现了一下icp_slam、rbpf_slam和amcl定位

smsld

Repository for the SMSLD descriptor

sptam

S-PTAM: Stereo Parallel Tracking and Mapping

sp_sg_annotation

SuperPoint和SuperGlue的中文注释

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

ssd_pytorch

pytorch 版本的SSD实现

stereo-dso

Stereo DSO

stereo-odometry-soft

MATLAB Implementation of SOFT algorithm for Stereo Odometry

stereo_dso

stereo_slam

summercamp2018

svo_edgelet

A more robust SVO with edgelet feature

sw-sift

Matlab implementation of sift(opensift) algorithm.

tensorflow-1

图解tensorflow 源码

uav_contest

“高分”无人飞行器智能感知大赛裁判程序

uav_gas_sensor_system

a gas sensor gazebo plugin for UAV sensing system

udastrongbaseline

Open-source stronger baseline for unsupervised or domain adaptive object re-ID.

video-image-quality-assessment

Softwares：进行视频质量评价必须常用的软件；Papers: 视频质量评价领域重要论文

vins-mobile

Monocular Visual-Inertial State Estimator on Mobile Phones

viso2

A ROS wrapper for libviso2, a library for visual odometry

visual_odometry_2d

Basic 2D monocular visual odometry assuming a bottom-looking camera and flat floor

vo-slam-review

SLAM is mainly divided into two parts: the front end and the back end. The front end is the visual odometer (VO), which roughly estimates the motion of the camera based on the information of adjacent images and provides a good initial value for the back end.The implementation methods of VO can be divided into two categories according to whether features are extracted or not: feature point-based methods, and direct methods without feature points. VO based on feature points is stable and insensitive to illumination and dynamic objects

vo_project

This project consists of a visual odometry implementation

wzu-machine-learning-course

温州大学《机器学习》课程资料（代码、课件等）

yaml-cpp

A YAML parser and emitter in C++

ygz-stereo-inertial

a stereo-inertial visual odometry

yolo3-pytorch

这是一个yolo3-pytorch的源码，可以用于训练自己的模型。