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Shuai Yuan's Projects

autoware icon autoware

Open-source software for urban self-driving mobility

cardboard icon cardboard

Project to add mobility features to the Google Cardboard project. Inital plan is to use the onboard accelerometer, then move to other things.If I suceed, please clear the area around you before using, It's very easy to walk into things.

dbow2 icon dbow2

Enhanced hierarchical bag-of-word library for C++

dvo icon dvo

Dense Visual Odometry

ethzasl_msf icon ethzasl_msf

MSF - Modular framework for multi sensor fusion based on an Extended Kalman Filter (EKF)

fbow icon fbow

FBOW (Fast Bag of Words) is an extremmely optimized version of the DBow2/DBow3 libraries.

freeimu icon freeimu

This repository has been created to allow the FreeIMU community to contribute and carry on the work done by Fabio Varesano during his research. You can find the original repository started by Fabio here: http://bazaar.launchpad.net/~fabio-varesano/freeimu/trunk/files We decided to move to GitHub to give to the community more importance in the development.

gicp icon gicp

Generalized ICP reference implementation

go-icp icon go-icp

Implementation of the Go-ICP algorithm for globally optimal 3D pointset registration

hector_slam icon hector_slam

hector_slam contains ROS packages related to performing SLAM in unstructed environments like those encountered in the Urban Search and Rescue (USAR) scenarios of the RoboCup Rescue competition.

imu_autopilot icon imu_autopilot

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

loam_velodyne icon loam_velodyne

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

maplab icon maplab

An open visual-inertial mapping framework.

matlab-groves icon matlab-groves

The code in this file is provided by Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems (Second Edition)

okvis icon okvis

OKVIS: Open Keyframe-based Visual-Inertial SLAM.

orb_slam icon orb_slam

A Versatile and Accurate Monocular SLAM

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