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slamcn's Projects

okvis icon okvis

OKVIS: Open Keyframe-based Visual-Inertial SLAM.

open_vins icon open_vins

An open source platform for visual-inertial navigation research.

openrealm icon openrealm

OpenREALM is a pipeline for real-time aerial mapping utilizing visual SLAM and 3D reconstruction frameworks.

openvslam icon openvslam

OpenVSLAM: A Versatile Visual SLAM Framework

orb-vins_rk4 icon orb-vins_rk4

LearnVIORB by using Runge Kutta 4th Order Integration On Manifold

orb_slam2_ssd_semantic icon orb_slam2_ssd_semantic

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

orb_slam3 icon orb_slam3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

orb_slam3_grid_mapping icon orb_slam3_grid_mapping

A modified version of ORB-SLAM3 which can create 2D grid map online or offline for AGV navigation.

pl-slam icon pl-slam

This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.

ptam-gpl icon ptam-gpl

PTAM (Parallel Tracking and Mapping) re-released under GPLv3.

r2live icon r2live

R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.

reslam icon reslam

RESLAM: A real-time robust edge-based SLAM system

revo icon revo

Robust Edge-based Visual Odometry (REVO)

rf2o_laser_odometry icon rf2o_laser_odometry

Estimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. For full description of the algorithm, please refer to: Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach. ICRA 2016 Available at: http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/papers/217

robot_localization icon robot_localization

robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.

ros_autonomous_slam icon ros_autonomous_slam

ROS package which uses the Navigation Stack to autonomously explore an unknown environment with help of GMAPPING and constructs a map of the explored environment. Finally, a path planning algorithm from the Navigation stack is used in the newly generated map to reach the goal. The Gazebo simulator is used for the simulation of the Turtlebot3 Waffle Pi robot. Various algorithms have been integrated for Autonomously exploring the region and constructing the map with help of the 360-degree Lidar sensor. Different environments can be swapped within launch files to generate a map of the environment.

rovio icon rovio

是一个紧耦合,基于图像块的滤波实现的VIO 单目+IMU ROVIO,滤波器紧耦合,图像patch的稀疏前端(?),EKF后端,基于扩展卡尔曼滤波:惯性测量用于滤波器的状态传递过程;视觉信息在滤波器更新阶段使用。

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