ubuntu 16.04 x64 ROS kinetic 安装ORB—SLAM

最新推荐文章于 2022-07-19 11:27:27 发布

月微良

最新推荐文章于 2022-07-19 11:27:27 发布

阅读量3.4k

点赞数 1

CC 4.0 BY-SA版权

分类专栏： slam

本文链接：https://blog.youkuaiyun.com/qq_33179208/article/details/53032687

slam 专栏收录该内容

2 篇文章

订阅专栏

本文详细介绍了如何安装和配置ORB-SLAM系统，并解决了安装过程中遇到的问题，包括依赖库的选择与安装、源码修改等。此外还提供了测试数据集的下载与使用方法。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >

1、g2o (included)
     We use g2o to perform several optimizations. We include a modified copy of the library including only the components we need and also some changes that are listed inThirdparty/g2o/Changes.txt. In order to compile g2o you will need to have installed CHOLMOD, BLAS, LAPACK and Eigen3.

    sudo apt-get install libsuitesparse-dev
    sudo apt-get install libblas-dev
    sudo apt-get install liblapack-dev

    注意：在安装eigen3这个库的时候请用下面这个版本：
   https://launchpad.net/ubuntu/trusty/amd64/libeigen3-dev/3.2.0-8
   找到libeigen3-dev_3.2.0-8_all.deb这个deb下载下来，然后在下载的目录下：
       sudo dpkg -i libeigen3-dev_3.2.0-8_all.deb
   在编译ORB-slam这个包的时候会报错，这里是第一个坑

2、确定你安装了一下库和依赖 (boost, eigen3, cholmod, blas, lapack).
2.0下载ORB的包 git clone https://github.com/raulmur/ORB_SLAM.git ORB_SLAM
2.1添加系统路径:
   cd ~
   gedit .bashrc
   在.bashrc文件的最后一行加入：
   export ROS_PACKAGE_PATH=${ROS_PACKAGE_PATH}:/home/robot3/ORB_SLAM-master（2.0中你的ORB的包文件路径）添加完毕，关闭.bashrc

source .bashrc

注意：如果你直接将ORB—slam这个包放到ros打工作空间下，就不用2.1这一步了！！！

2.2 Build g2o. Go into Thirdparty/g2o/ and execute:

    cd ORB_SLAM-master/Thirdparty/g2o/
    mkdir build
    cd build
    cmake .. -DCMAKE_BUILD_TYPE=Release
    make

   2.3 Build DBoW2. Go into Thirdparty/DBoW2/ and execute:
    cd ORB_SLAM-master/Thirdparty/DBoW2/
    mkdir build
    cd build
    cmake .. -DCMAKE_BUILD_TYPE=Release
    make (如果未安装OpenCV，首先编译OpenCV)

    2.4 Build ORB_SLAM. In the ORB_SLAM root execute:

这里需要打开manifest.xml，然后注释掉对opencv2的依赖，注释完如下：
<package>
<description brief="ORB_SLAM">

     ORB_SLAM

</description>
<author>Raul Mur-Artal</author>
<license>GPLv3</license>
<depend package="roscpp"/>
<depend package="tf"/>
<depend package="sensor_msgs"/>

<depend package="image_transport"/>
<depend package="cv_bridge"/>

</package>
（这是第二个坑）

然后打开src/ORBextractor.cc这个文件，在开头添加#include <opencv2/opencv.hpp>，因为我的系统找不到下面两个opencv的头文件（这是第三个坑)，下面正常编译就可以了：

    cd ORB_SLAM-master/
    mkdir build
    cd build
    cmake .. -DROS_BUILD_TYPE=Release
    make

结果：
[ 0%] Built target rospack_genmsg_libexe
[ 0%] Built target rosbuild_precompile
Scanning dependencies of target ORB_SLAM-master
[ 5%] Building CXX object CMakeFiles/ORB_SLAM-master.dir/src/main.cc.o
[ 10%] Building CXX object CMakeFiles/ORB_SLAM-master.dir/src/Tracking.cc.o
[ 15%] Building CXX object CMakeFiles/ORB_SLAM-master.dir/src/LocalMapping.cc.o
[ 21%] Building CXX object CMakeFiles/ORB_SLAM-master.dir/src/LoopClosing.cc.o
[ 26%] Building CXX object CMakeFiles/ORB_SLAM-master.dir/src/FramePublisher.cc.o
[ 31%] Building CXX object CMakeFiles/ORB_SLAM-master.dir/src/Converter.cc.o
[ 36%] Building CXX object CMakeFiles/ORB_SLAM-master.dir/src/KeyFrame.cc.o
[ 42%] Building CXX object CMakeFiles/ORB_SLAM-master.dir/src/Optimizer.cc.o
[ 47%] Building CXX object CMakeFiles/ORB_SLAM-master.dir/src/PnPsolver.cc.o
[ 52%] Building CXX object CMakeFiles/ORB_SLAM-master.dir/src/Frame.cc.o
[ 57%] Building CXX object CMakeFiles/ORB_SLAM-master.dir/src/KeyFrameDatabase.cc.o
[ 63%] Building CXX object CMakeFiles/ORB_SLAM-master.dir/src/Sim3Solver.cc.o
[ 68%] Building CXX object CMakeFiles/ORB_SLAM-master.dir/src/Initializer.cc.o
[ 73%] Linking CXX executable ../bin/ORB_SLAM-master
[100%] Built target ORB_SLAM-master
说明OK了～～～