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brytsknguyen's Projects

kimera-vio icon kimera-vio

Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

lio-mapping-1 icon lio-mapping-1

Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

livox_ros_driver2 icon livox_ros_driver2

Livox device driver under Ros(Compatible with ros and ros2), support Lidar HAP and Mid-360.

lvi-sam icon lvi-sam

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

m-loam icon m-loam

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration

nlink_parser icon nlink_parser

ROS package developed for UWB positioning system and TOF lidar written in C++.

oblam_deskew icon oblam_deskew

An Assignment for Optimization-based Localization and Mapping Course

oblam_pgo icon oblam_pgo

An assignment on Loop Closure and Pose Graph Optimization for OBLAM CourseY

open_vins icon open_vins

An open source platform for visual-inertial navigation research.

opengv icon opengv

OpenGV is a collection of computer vision methods for solving geometric vision problems. It is hosted and maintained by the Mobile Perception Lab of ShanghaiTech.

opengv_catkin icon opengv_catkin

Catkin wrapper for installing [opengv](https://github.com/laurentkneip/opengv)

pypcd icon pypcd

PCL pcd fileformat i/o in Python

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.

r3live icon r3live

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

racer icon racer

Rapid Exploration with Multiple Unmanned Aerial Vehicles (UAV)

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