vcmman Goto Github PK

imu_autopilot

Autopilot software used on the PIXHAWK Inertial Measurement Unit (pxIMU)

imu_tools

ROS tools for IMU devices

imu_utils

A ROS package tool to analyze the IMU performance.

inertialnav

Inertial Navigation Filter

interactive_slam

Interactive Map Correction for 3D Graph SLAM

iscloam

Intensity Scan Context based full SLAM implementation for autonomous driving.

kcf

Kernelized Correlation Filter tracker

kcf_tld_tracking_ros

Visual target tracking with KCF and TLD

kcfcpp

C++ Implementation of KCF Tracker

kintinuous

Real-time large scale dense visual SLAM system

klt_feature_tracker

Track a number of features in a series of (stereo) images for machine vision applications

kr_attitude_eskf

Implementation of error-state kalman filter for attitude determination with MARG sensors

learnviorb

lego-loam

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

libcnn

libcnn++

libfovis

Fork of the original libfovis (Fast Odometry from VISion)

libpointmatcher

An "Iterative Closest Point" library for 2-D/3-D mapping in robotic

librealsense

Cross-platform camera capture for Intel® RealSense™ F200, SR300 and R200

lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera

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

loam_back_and_forth

Laser Odometry and Mapping (back and forth spin version)

loam_continuous

Laser Odometry and Mapping (continuous spin version)

loam_velodyne

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

mav_comm

This repository contains message and service definitions used for mavs. All future message definitions go in here, existing ones in other stacks should be moved here where possible.

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.

mono-vo

An OpenCV based implementation of Monocular Visual Odometry

msckf

msckf-1

Multi-State Constraint Kalman Filter with ROS interface.

msckf-swf-comparison

MATLAB code and data for our CRV 2015 paper