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rgbd_orb_slam2_rt

Real-time envrionment reconstruction based on ORB_SLAM2 with XTION (RGBD sensor)

rgbid-slam

Dense visual SLAM for RGB-D cameras

rl-botics

Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow

rl_implementations

robust-view-graph-slam

C++ implementation of view-graph SLAM using nonlinear least-squares

ros-hydro-slam

几种主要的SLAM方法（Libviso,SVO,PTAM）在ROS-Hydro平台下的实现

rplidar-slambot

Evolving codebase for a SLAM-capable robot using the RoboPeak LIDAR sensor

rrd_slam

rtabmap

RTAB-Map library and standalone application

scavislam

This is a general and scalable framework for visual SLAM. It employs "Double Window Optimization" (DWO).

semantic_slam

Real time semantic slam in ROS with a hand held RGB-D camera

sfm-visual-slam

shield_slam

VSlam implemented on NVIDIA Shield

simpleslam

A simple SLAM implementation for education

slam

learning SLAM,curse,paper and others

slam-1

slam源码分析

slam-2

An implementation of particle filtering algorithm for simultaneous localization and mapping (SLAM) in autonomous robots.

slam-3

Python files for SLAM course by Claus Brenner

slam-4

SLAM implementation for autonomous ground vehicle

slam-5

Robotics Simultaneous Localization and Mapping

slam-6

Serverless deployment of Python APIs

slam-7

Simple LOVE Audio Manager

slam-8

slam-9

Integrated EKF-SLAM implementation

slam-algorithms-octave

Solutions to assignments of Robot Mapping Course WS 2013/14 by Dr. Cyrill Stachniss at University of Freiburg

slam-constructor

SLAM Constructor Framework

slam-future

slam-python

用python学习rgbd-slam系列

slam-quater_ukf

A quaternion unscented kalman filter structure is used. This is based on an unscented variant of a Kalman filter. The filter use the multiplicative quaternion approach, which means that the quaternion in the system perform incremental steps and is set to zero at each filter loop. This approach avoids quaternion renormalization. Also the filter uses the gyroscopes model consisted by random walk (white noise) and rate random walk. Ultimately, any attitude sensor can be used in the measurement step and more than one if available.

slam-scan-matching