R3LIVE：A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation 运行记录

港大火星实验室在2022年元旦开源了R3live，个人效果非常不错。年前找个时间了一下，嗯，确实可以。好，言归正传，记录一下的过程。

下面就是github上面开源的链接地址了。

GitHub - hku-mars/r3live: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping packageA Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package - GitHub - hku-mars/r3live: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping packagehttps://github.com/hku-mars/r3live首先安装一下ROS、Livox驱动、 CGAL和OpenCV库依赖：
ROS

Following this ROS Installation to install ROS and its additional pacakge:

sudo apt-get install ros-XXX-cv-bridge ros-XXX-tf ros-XXX-message-filters ros-XXX-image-transport ros-XXX-image-transport*

NOTICE: remember to replace "XXX" on above command as your ROS distributions, for example, if your use ROS-kinetic, the command should be:

sudo apt-get install ros-kinetic-cv-bridge ros-kinetic-tf ros-kinetic-message-filters ros-kinetic-image-transport*
livox_ros_driver

Follow this livox_ros_driver Installation.
CGAL and pcl_viewer (optional)

sudo apt-get install libcgal-dev pcl-tools

OpenCV >= 3.3

You can use the following command to check your OpenCV version, if your openCV version lower than OpenCV-3.3, we recommend you to update your you openCV version if you meet errors in complying our codes. Otherwise, skip this step .

pkg-config --modversion opencv

现在可以clone一下代码：

mkdir -p ~/catkin_R3live/src

cd ~/catkin_R3live/src
git clone https://github.com/hku-mars/r3live.git
cd ../
然后编译，catkin_make一下，（因为我已经编译过了，所以built显示比较简单），如图：

source devel/setup.bash

下载需要的数据集，(code提取码: wwxw)

百度网盘 请输入提取码

然后，一下launch文件：

roslaunch r3live r3live_bag.launch

结果如下：

这时，播放一下bag文件，我下载的是港大校园的bag，后显示如下：

过程中，按“s”保存一下建好的图片，会生成r3live_output文件夹，里面有rgb_pt.pcd文件，用cc软件打开，显示如下：

通过mesh渲染一下，代码已经写好了，直接：

roslaunch r3live r3live_reconstruct_mesh.launch

在r3live_output文件夹中，打开终端，：

meshlab textured_mesh.ply

就可以看到最后渲染后的效果了：

好了，这次分享结束，下次有好玩的继续分享，欢迎交流讨论。
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