linux ubuntu18.04安装ORB_SLAM2

安装 ORB_SLAM2 需要进行以下几步：

1.安装依赖项：

sudo apt-get install libglew-dev libsuitesparse-dev libeigen3-dev libboost-all-dev libopencv-dev

2.克隆 ORB_SLAM2 的代码库：

git clone https://github.com/raulmur/ORB_SLAM2.git ORB_SLAM2

3.编译 ORB_SLAM2：

cd ORB_SLAM2
chmod +x build.sh
./build.sh

4.设置环境变量：

export ROS_PACKAGE_PATH=${ROS_PACKAGE_PATH}:path/to/ORB_SLAM2/Examples/ROS

完成上述步骤后，你可以进入 ORB_SLAM2 的 Examples 目录并运行示例，例如：

rosrun ORB_SLAM2 Stereo Vocabulary/ORBvoc.txt Examples/Stereo/EuRoC.yaml true

这将运行 EuRoC 数据集上的 ORB_SLAM2 算法。

相关问题

ubuntu18.04安装orb_slam3

### 回答1：
要在Ubuntu 18.04上安装ORB_SLAM3，您可以按照以下步骤操作：

1. 安装必要的依赖项：

sudo apt-get install build-essential cmake git libgtk2.-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libdc1394-22-dev libeigen3-dev libboost-all-dev libprotobuf-dev protobuf-compiler libgoogle-glog-dev libgflags-dev libatlas-base-dev liblapack-dev libblas-dev

2. 克隆ORB_SLAM3存储库：

git clone https://github.com/UZ-SLAMLab/ORB_SLAM3.git ORB_SLAM3

3. 进入ORB_SLAM3目录并创建build目录：

cd ORB_SLAM3
mkdir build
cd build

4. 运行cmake：

cmake ..

5. 编译ORB_SLAM3：

make -j4

6. 运行ORB_SLAM3：

./Examples/Monocular/mono_tum Vocabulary/ORBvoc.txt Examples/Monocular/TUM1.yaml /path/to/dataset/sequence/

其中，/path/to/dataset/sequence/是您要运行ORB_SLAM3的数据集的路径。

希望这可以帮助您安装ORB_SLAM3。

### 回答2：
Orb_slam3是一款基于Ubuntu操作系统的开源物体三维建模软件，它可以准确地模拟出物体的运动轨迹、形态等，并对其进行快速的重建。下面是Ubuntu18.04安装Orb_slam3的方法。
1. 下载安装Orb_slam3所需要的依赖库：
首先要安装git库，输入以下命令`sudo apt-get install git`。
然后安装依赖关系`sudo apt-get install build-essential cmake g++ git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libv4l-dev libxine2-dev libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev libopencv-dev libtbb-dev libeigen3-dev libblas-dev liblapack-dev libprotobuf-dev protobuf-compiler libgoogle-glog-dev libgflags-dev libzmq3-dev`。

2. 下载ORB_SLAM3源代码：
安装完依赖库后，请输入以下命令。

cd /home
git clone https://github.com/UZ-SLAMLab/ORB_SLAM3.git ORB_SLAM3

3. 生成ORB_SLAM3的可执行程序：
编译安装ORB-SLAM程序，运行以下命令。

cd ORB_SLAM3
chmod +x build.sh
./build.sh

4. 使用ORB_SLAM3进行物体三维重建:
使用ORB_SLAM3准确地模拟出物体的运动轨迹、形态，然后进行三维重建。进入ORB_SLAM3目录，运行以下命令。

rosrun ORB_SLAM3 Stereo Vocabulary/ORBvoc.txt Examples/Stereo/EuRoC.yaml true

5. 建议：升级显卡驱动
安装了ORB_SLAM3后，建议升级显卡驱动以便更好的使用ORB_SLAM3软件。

以上就是Ubuntu18.04安装ORB_SLAM3的全部步骤，友好的交互界面使得练手极为方便，让使用者轻松地看到所需的信息，这也是它被越来越多的用户所信赖的原因。

### 回答3：
Ubuntu 18.04是一种开源的操作系统，ORB_SLAM3是一种全新的视觉SLAM库，它可以实现精准的视觉定位和建图，能够广泛应用于机器人、自动驾驶、虚拟现实等领域。以下是安装ORB_SLAM3的步骤：

1.安装依赖项

首先，必须安装ORB_SLAM3所需的一些依赖项，如Eigen，Boost，OpenCV和Pangolin等。可以在终端窗口中运行以下命令进行安装：

sudo apt-get install libeigen3-dev
sudo apt-get install libboost-all-dev
sudo apt-get install libopencv-dev
sudo apt-get install libopencv-dev
sudo apt-get install libglew-dev
sudo apt-get install libsuitesparse-dev

2.克隆ORB_SLAM3库

使用git工具从GitHub上克隆ORB_SLAM3库。运行以下命令：

git clone https://github.com/UZ-SLAMLab/ORB_SLAM3.git ORB_SLAM3

3.构建ORB_SLAM3库

进入ORB_SLAM3目录并构建ORB_SLAM3库。运行以下命令：

cd ORB_SLAM3
chmod +x build.sh
./build.sh

4.下载数据集

如果要测试ORB_SLAM3的性能，需要下载一些数据集。运行以下命令，以下载KITTI数据集：

./tools/kitti_downloader.sh

5.测试ORB_SLAM3

最后，可以使用ORB_SLAM3库来测试视觉SLAM的性能。运行以下命令：

./Examples/Monocular/mono_kitti Vocabulary/ORBvoc.txt Examples/Monocular/KITTI00-02.yaml path_to_dataset_folder/dataset

在执行此命令时，必须将“path_to_dataset_folder”替换为数据集所在的路径。此外，应该将“Examples/Monocular/KITTI00-02.yaml”替换为数据集文件中包含的文件。这将运行ORB_SLAM3并显示视觉定位和建图的结果。

总之，使用这些步骤可以在Ubuntu 18.04上成功安装ORB_SLAM3，并进行视觉定位和建图的测试。

ubuntu18.04安装orb_slam2

安装orb_slam2在ubuntu18.04上的步骤如下：

1. 安装依赖项：

sudo apt-get install libsuitesparse-dev libeigen3-dev libboost-all-dev libglew-dev libglfw3-dev libatlas-base-dev libatlas-dev libatlas-doc libatlas3-base libatlas3-base-dev libfreeimage-dev libgoogle-glog-dev libgflags-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libqglviewer-dev-qt4 libqglviewer-dev-qt5 libqglviewer-dev-common libqglviewer-dev-doc libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libopenni2-dev libopenni-dev libop这个列表似乎有重复项目，并且安装了很多不必要的依赖项。正确的安装步骤应该是:

1. 安装依赖项:

sudo apt-get install libsuitesparse-dev libeigen3-dev libboost-all-dev libglew-dev libglfw3-dev libatlas-base-dev libatlas-dev libfreeimage-dev libgoogle-glog-dev libgflags-dev libopenni-dev libopenni2-dev libqglviewer-dev-qt4 libqglviewer-dev-qt5

2. 下载orb_slam2并编译它

git clone https://github.com/raulmur/ORB_SLAM2.git
cd ORB_SLAM2
chmod +x build.sh
./build.sh

3. 运行示例程序

./Examples/Monocular/mono_tum Vocabulary/ORBvoc.txt Examples/Monocular/TUM1.yaml

请注意, orb_slam2 仅支持 monocular 和 stereo 模式，并且需要一个特定格式的词汇库和配置文件。