由于开源版本的orbslam2没有地图的生成和保存模块,高博加了一个实时显示点云模块。
1、下载源码
git clone https://github.com/gaoxiang12/ORBSLAM2_with_pointcloud_map.git
2、解压 orbslam2_modified.zip
解压会得到两个文件夹,分别为 g2o_with_orbslam2 和 ORB_SLAM2_modified,与原ORB_SLAM2_modified合并到同一个文件夹
3、编译g2o_with_orbslam2
cd g2o_with_orbslam2
mkdir build
cmake ..
make -j8
sudo make install
–遇到编译错误时,作如下修改:
(1)解决办法:其实是版本问题,在这个网站上https://launchpad.net/ubuntu/trusty/amd64/libeigen3-dev/3.2.0-8,下载.deb文件,
然后安装:sudo dpkg -i libeigen3-dev_3.2.0-8_all.deb
或者:
(2)打开/g2o_with_orbslam2/g2o/types/slam2d/edge_se2_pointxy_bearing.cpp
//t.setRotation(t.rotation().angle()+_measurement);
改为:
t.setRotation((Eigen::Rotation2Dd)(t.rotation().angle()+_measurement));
(3)打开/g2o_with_orbslam2/g2o/solvers/eigen/linear_solver_eigen.h
//typedef Eigen::PermutationMatrix<Eigen::Dynamic, Eigen::Dynamic, SparseMatrix::Index> PermutationMatrix;
改为:
//typedef Eigen::PermutationMatrix<Eigen::Dynamic, Eigen::Dynamic, SparseMatrix::StorageIndex> PermutationMatrix;
typedef Eigen::PermutationMatrix<Eigen::Dynamic, Eigen::Dynamic, int> PermutationMatrix;
4、编译DBoW2
cd ORB_SLAM2_modified/Thirdparty/DBoW2
mkdir build
cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
make
#sudo make install
5、进入/ORB_SLAM2_modified文件夹
chmod +x build.sh
./build.sh
(1)–opencv版本错误进入CMakeLists.txt修改。
(2)–如果遇见DBoW2和g2o错误,例如报optimizer.cc未引用或者指针错误,作如下修改:
进入Thirdparty文件下,删除DBoW2和g2o里面的build文件
回到/ORB_SLAM2_modified文件夹,重新编译:./build.sh
6.用单目/双目/rgbd来做做实验
将数据集以及associate.py,放在 ORB_SLAM2_modified目录下,运行如下命令:
python associate.py Data/rgbd_dataset_freiburg1_desk/rgb.txt Data/rgbd_dataset_freiburg1_desk/depth.txt > Data/rgbd_dataset_freiburg1_desk/associations.txt
执行完毕后可运行示例:
./Example/RGB-D/rgbd_tum
Vocabulary/ORBvoc.txt path_to_settings path_to_sequence path_to_association
例如:
./Examples/RGB-D/rgbd_tum Vocabulary/ORBvoc.txt Examples/RGB-D/TUM1.yaml Data/rgbd_dataset_freiburg1_desk Data/rgbd_dataset_freiburg1_desk/associations.txt
7.简单保存最终点云
打开ORB_SLAM2_modified/pointcloudmapping.cc文件,做一点修改:
(1)添加头文件#include <pcl/io/pcd_io.h>
(2)修改void PointCloudMapping::viewer()如下:
void PointCloudMapping::viewer()
{
pcl::visualization::CloudViewer viewer("viewer");
while(1)
{
{
unique_lock<mutex> lck_shutdown( shutDownMutex );
if (shutDownFlag)
{
break;
}
}
{
unique_lock<mutex> lck_keyframeUpdated( keyFrameUpdateMutex );
keyFrameUpdated.wait( lck_keyframeUpdated );
}
// keyframe is updated
size_t N=0;
{
unique_lock<mutex> lck( keyframeMutex );
N = keyframes.size();
}
for ( size_t i=lastKeyframeSize; i<N ; i++ )
{
PointCloud::Ptr p = generatePointCloud( keyframes[i], colorImgs[i], depthImgs[i] );
*globalMap += *p;
}
PointCloud::Ptr tmp(new PointCloud());
voxel.setInputCloud( globalMap );
voxel.filter( *tmp );
globalMap->swap( *tmp );
viewer.showCloud( globalMap );
cout<<"show global map, size="<<globalMap->points.size()<<endl;
lastKeyframeSize = N;
}
//在这里
pcl::io::savePCDFile("result.pcd", *globalMap);
cout << "Final result saved." << endl;
}
参考自:
https://blog.youkuaiyun.com/qq_25349629/article/details/88528765
https://blog.youkuaiyun.com/u011813286/article/details/89096065
https://blog.youkuaiyun.com/qq_25349629/article/details/88350374
https://blog.youkuaiyun.com/LOVE1055259415/article/details/79903571
https://blog.youkuaiyun.com/oliongs/article/details/79696376
https://github.com/abhineet123/ORB_SLAM2