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二十九-使用RealSenseD435进行ORBSLAM2实时三维重建

2022-06-25 16:22:00 【goldqiu】

以前文章汇总：

多传感器融合SLAM部分：

开源框架测试

二.激光SLAM框架学习之A-LOAM框架---介绍及其演示_goldqiu的博客-CSDN博客

八.激光SLAM框架学习之LeGO-LOAM框架---框架介绍和运行演示_goldqiu的博客-CSDN博客

十一.激光惯导LIO-SLAM框架学习之LIO-SAM框架---框架介绍和运行演示_goldqiu的博客-CSDN博客

十二.激光SLAM框架学习之livox-loam框架安装和跑数据集_goldqiu的博客-CSDN博客

二十二.香港大学火星实验室R3LIVE框架跑官方数据集_goldqiu的博客-CSDN博客

二十四-香港大学火星实验室FAST-LIO2框架跑官方数据集_goldqiu的博客-CSDN博客

二十七-VIO-SLAM开源框架Vin-mono跑EuRoC数据集_goldqiu的博客-CSDN博客

从这篇博客就开始进入到Localization、Navigation部分了

二十五.SLAM中Mapping和Localization区别和思考

Planning

一.路径规划---二维路径规划仿真实现-gmapping+amcl+map_server+move_base_goldqiu的博客-CSDN博客

二.路径规划---二维路径规划实车实现---gmapping+amcl+map_server+move_base_goldqiu的博客-CSDN博客

Global Localization

一.全局定位--开源定位框架LIO-SAM_based_relocalization实录数据集测试_goldqiu的博客-CSDN博客

二.全局定位--开源定位框架livox-relocalization实录数据集测试_goldqiu的博客-CSDN博客_livox数据集

三.全局定位--LIO-SAM在RTK全局约束下建图和定位（1）_goldqiu的博客-CSDN博客

RealSenseD435驱动安装

安装SDK

1. 下载source

git clone https://github.com/IntelRealSense/librealsense 
cd librealsense

建议下载稍微低版本的SDK，我下载的是librealsense-2.36.0版本的，或者librealsense-2.45.0

2. 安装依赖项

sudo apt-get install libudev-dev pkg-config libgtk-3-dev
sudo apt-get install libusb-1.0-0-dev pkg-config
sudo apt-get install libglfw3-dev
sudo apt-get install libssl-dev

3. 安装权限脚本

在librealsense文件夹

sudo cp config/99-realsense-libusb.rules /etc/udev/rules.d/
sudo udevadm control --reload-rules && udevadm trigger

卸载重装的话，99-realsense-libusb.rules文件需要删除。

4. 编译安装

mkdir build
cd build
cmake ../ -DBUILD_EXAMPLES=true
make
sudo make install

realsense-viewer工具查看效果

realsense-viewer

安装RealSense-ROS

sudo apt-get install ros-melodic-rgbd-launch
git clone https://github.com/IntelRealSense/realsense-ros.git
git clone https://github.com/pal-robotics/ddynamic_reconfigure.git
cd ~/catkin_ws && catkin_make

编译完成后，使用如下命令测试：

roslaunch realsense2_camera demo_pointcloud.launch

建议下载稍微低版本的，我下载的分别是ddynamic_reconfigure-0.2.2和realsense-ros-2.3.2，或者ddynamic_reconfigure-0.3.2和realsense-ros-2.3.2

开启相机节点

roslaunch realsense2_camera rs_rgbd.launch

报错：

/opt/ros/melodic/lib/nodelet/nodelet: symbol lookup error: /home/qjs/code/D435_ws/devel/lib//librealsense2_camera.so: undefined symbol: _ZN20ddynamic_reconfigure19DDynamicReconfigure16registerVariableIiEEvRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEET_RKN5boost8functionIFvSA_EEES9_SA_SA_S9_
[camera/realsense2_camera_manager-2] process has died [pid 27469, exit code 127, cmd /opt/ros/melodic/lib/nodelet/nodelet manager __name:=realsense2_camera_manager __log:=/home/qjs/.ros/log/1eca8a82-e8c4-11ec-807e-70b5e831e2ce/camera-realsense2_camera_manager-2.log].
log file: /home/qjs/.ros/log/1eca8a82-e8c4-11ec-807e-70b5e831e2ce/camera-realsense2_camera_manager-2*.log

sudo find / -name librealsense2_camera.so

删除其中一个地方的librealsense2_camera.so，只保留一个。

报警告：

 10/06 21:55:35,555 WARNING [140685336372992] (messenger-libusb.cpp:42) control_transfer returned error, index: 768, error: Resource temporarily unavailable, number: 11

不管，可以使用

高翔博士ORBSLAM2_with_pointcloud_map安装

安装相关依赖库

sudo  apt-get  install  cmake gcc g++ git vim
sudo  apt-get  install  libglew-dev
sudo  apt-get  install  libboost-dev libboost-thread-dev 
sudo  apt-get  install  libboost-filesystem-dev
sudo  apt-get  install  libpython2.7-dev
sudo  apt-get  install  build-essential

安装Pangolin和Eigen 这两个库，建议分别是0.5和3.2版本，报错可能性小。

cd  Pangolin  
mkdir  build
cd  build
cmake ..
make 
sudo make install
cd  eigen
mkdir  build
cd  build
cmake ..
make 
sudo make install

编译非ROS环境

下载改好的代码：

g2o_with_orbslam2主文件夹下

mkdir build
cmake ..
make -j8
sudo make install

/ORB_SLAM2_modified/build /ORB_SLAM2_modified/Thirdparty/DBoW2/build /ORB_SLAM2_modified/Thirdparty/g2o/build 删掉三个 build 文件夹

在ORB_SLAM2_modified下右键打开终端

cd ORB_SLAM2_modified/Thirdparty/DBoW2
mkdir build
cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
make

重新在ORB_SLAM2_modified下右键打开终端

mkdir build
cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
make -j8

数据集测试

./Examples/RGB-D/rgbd_tum Vocabulary/ORBvoc.txt Examples/RGB-D/TUM1.yaml datasets/rgbd_dataset_freiburg1_xyz  datasets/rgbd_dataset_freiburg1_xyz/association.txt

./Examples/RGB-D/rgbd_tum Vocabulary/ORBvoc.txt Examples/RGB-D/TUM1.yaml datasets/rgbd_dataset_freiburg1_room  datasets/rgbd_dataset_freiburg1_room/association.txt

保存的点云在主文件夹下，名称为vslam.pcd

编译ROS环境

来到ORB_SLAM2_modified文件夹在打开的文本最后添加你的ROS路径，保存

gedit ~/.bashrc
export ROS_PACKAGE_PATH=${ROS_PACKAGE_PATH}:/你的目录/ORB_SLAM2_modified/Examples/ROS

保存后在终端输入

source ~/.bashrc

配置ros环境

sudo gedit /opt/ros/melodic/setup.bash 
export ROS_PACKAGE_PATH=${ROS_PACKAGE_PATH}:/你的目录/ORB_SLAM2_modified/Examples/ROS

保存后在终端输入

source /opt/ros/melodic/setup.bash

删除ORB_SLAM2_modified/Examples/ROS/ORB_SLAM2/build中的文件

然后编译

chmod +x build_ros.sh
./build_ros.sh

ROS 报错 ModuleNotFoundError: No module named ‘rospkg‘

pip install rospkg

boost的库问题：

在~/catkin_ws/src/ORB_SLAM2/Examples/ROS/ORB_SLAM2/CMakeLists.txt里添加一句-lboost_system

出现g2o库的报错，大概率是和ros自带的g2o冲突了，卸载：

sudo apt-get remove ros-melodic-libg2o

查看相机内参

roslaunch realsense2_camera rs_rgbd.launch 
rostopic echo /camera/color/camera_info
header: 
  seq: 1469
  stamp: 
    secs: 1654853975
    nsecs: 751267910
  frame_id: "camera_color_optical_frame"
height: 480
width: 640
distortion_model: "plumb_bob"
D: [0.0, 0.0, 0.0, 0.0, 0.0]
K: [611.2393798828125, 0.0, 319.9852600097656, 0.0, 610.677490234375, 242.4569854736328, 0.0, 0.0, 1.0]
R: [1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0]
P: [611.2393798828125, 0.0, 319.9852600097656, 0.0, 0.0, 610.677490234375, 242.4569854736328, 0.0, 0.0, 0.0, 1.0, 0.0]
binning_x: 0
binning_y: 0
roi: 
  x_offset: 0
  y_offset: 0
  height: 0
  width: 0
  do_rectify: False

终端中显示的K,为参数，其中K = [fx 0 cx 0 fy cy 0 0 1 ] ，基线50mm

修改参数，得到一个新的D435i.yaml

%YAML:1.0
 
#--------------------------------------------------------------------------------------------
# Camera Parameters. Adjust them!
#--------------------------------------------------------------------------------------------
 
# Camera calibration and distortion parameters (OpenCV) 
Camera.fx: 611.239380
Camera.fy: 610.677490
Camera.cx: 319.985260
Camera.cy: 242.456985

Camera.k1: 0.0
Camera.k2: 0.0
Camera.p1: 0.0
Camera.p2: 0.0
Camera.p3: 0.0

Camera.width: 640
Camera.height: 480
# Camera frames per second 
Camera.fps: 30.0

# IR projector baseline times fx (aprox.)
# bf = baseline (in meters) * fx, D435i的 baseline = 50 mm 
Camera.bf: 50.0
 
# Color order of the images (0: BGR, 1: RGB. It is ignored if images are grayscale)
Camera.RGB: 1
 
# Close/Far threshold. Baseline times.
ThDepth: 40.0
 
# Deptmap values factor
DepthMapFactor: 1000.0
 
#--------------------------------------------------------------------------------------------
# ORB Parameters
#--------------------------------------------------------------------------------------------
 
# ORB Extractor: Number of features per image
ORBextractor.nFeatures: 1000
 
# ORB Extractor: Scale factor between levels in the scale pyramid   
ORBextractor.scaleFactor: 1.2
 
# ORB Extractor: Number of levels in the scale pyramid  
ORBextractor.nLevels: 8
 
# ORB Extractor: Fast threshold
# Image is divided in a grid. At each cell FAST are extracted imposing a minimum response.
# Firstly we impose iniThFAST. If no corners are detected we impose a lower value minThFAST
# You can lower these values if your images have low contrast           
ORBextractor.iniThFAST: 20
ORBextractor.minThFAST: 7
 
#--------------------------------------------------------------------------------------------
# Viewer Parameters
#--------------------------------------------------------------------------------------------
Viewer.KeyFrameSize: 0.05
Viewer.KeyFrameLineWidth: 1
Viewer.GraphLineWidth: 0.9
Viewer.PointSize:2
Viewer.CameraSize: 0.08
Viewer.CameraLineWidth: 3
Viewer.ViewpointX: 0
Viewer.ViewpointY: -0.7
Viewer.ViewpointZ: -1.8
Viewer.ViewpointF: 500
 
PointCloudMapping.Resolution: 0.01
meank: 50
thresh: 2.0

运行

roslaunch realsense2_camera rs_rgbd.launch
rosrun ORB_SLAM2 RGBD Vocabulary/ORBvoc.txt Examples/RGB-D/D435i.yaml

录制包

rosbag record -o 20220611.bag /camera/color/image_raw  /camera/aligned_depth_to_color/image_raw

参考博客

https://blog.csdn.net/weixin_44946842/article/details/124055318?utm_source=app&app_version=5.3.0&code=app_1562916241&uLinkId=usr1mkqgl919blen

最后效果

原网站

版权声明
本文为[goldqiu]所创，转载请带上原文链接，感谢
https://blog.csdn.net/weixin_36773706/article/details/125384679