目录
1 运行步骤
(1) 创建工作空间
(2) 修改CmakeList.txt
(3) 编译
(4) 下载bag文件
(4) 编写roslaunch文件
2 运行报错
报错1:
报错2:
报错3:
报错4:
ROS学习文档:Introduction · Autolabor-ROS机器人入门课程《ROS理论与实践》零基础教程
mkdir -p /orbslam2_ws/src
cd /orbslam2_ws/src
cd ..
catkin_make
source ./devel/setup.bash
cd /orbslam2_ws/src
//将稠密建图的代码复制到/src目录下
cd ..
catkin_make
source ./devel/setup.bash
修改在/Examples/ROS/ORB-SLAM2下的CmakeList.txt
find_package(PCL 1.10 REQUIRED)
include_directories(${PCL_INCLUDE_DIRS})
set(LIBS ${PCL_LIBRARIES})
到你的ORB-SLAM2文件夹下打开终端
chmod +x ./build_ros.sh
./build_ros.sh
下载地址:Computer Vision Group - Dataset Download
在./orbslam2_ws/src/ORB_SLAM2想创建launch文件夹,创建orbslam.launch文件
(5) 运行
在./orbslam2_ws下source ./devel/setup.bash,然后运行roslaunch ORB_SLAM2 orbslam2.launch可以得到相同的效果。
/usr/bin/ld: warning: libboost_filesystem.so.1.71.0, needed by /opt/ros/noetic/lib/libroscpp.so, may conflict with libboost_filesystem.so.1.80.0
/usr/bin/ld: warning: libopencv_imgcodecs.so.4.2, needed by /opt/ros/noetic/lib/libcv_bridge.so, may conflict with libopencv_imgcodecs.so.3.4
/usr/bin/ld: warning: libopencv_core.so.4.2, needed by /opt/ros/noetic/lib/libcv_bridge.so, may conflict with libopencv_core.so.3.4
/usr/bin/ld: ../../../../lib/libORB_SLAM2.so: undefined reference to `g2o::OptimizationAlgorithmLevenberg::OptimizationAlgorithmLevenberg(g2o::Solver*)'
/usr/bin/ld: warning: libboost_filesystem.so.1.71.0, needed by /opt/ros/noetic/lib/libroscpp.so, may conflict with libboost_filesystem.so.1.80.0
/usr/bin/ld: warning: libopencv_imgcodecs.so.4.2, needed by /opt/ros/noetic/lib/libcv_bridge.so, maycollect2: error: ld returned 1 exit status
conflict with libopencv_imgcodecs.so.3.4
/usr/bin/ld: warning: libopencv_core.so.4.2, needed by /opt/ros/noetic/lib/libcv_bridge.so, may conflict with libopencv_core.so.3.4
/usr/bin/ld: ../../../../lib/libORB_SLAM2.so: undefined reference to `g2o::OptimizationAlgorithmLevenberg::OptimizationAlgorithmLevenberg(g2o::Solver*)'
collect2: error: ld returned 1 exit status
make[2]: *** [CMakeFiles/RGBD.dir/build.make:254:../RGBD] 错误 1
make[2]: *** [CMakeFiles/Mono.dir/build.make:254:../Mono] 错误 1
make[1]: *** [CMakeFiles/Makefile2:157:CMakeFiles/RGBD.dir/all] 错误 2
make[1]: *** 正在等待未完成的任务....
make[1]: *** [CMakeFiles/Makefile2:184:CMakeFiles/Mono.dir/all] 错误 2
make: *** [Makefile:130:all] 错误 2
解决办法:这可能是由于在编译 libORB_SLAM2.so 时没有正确链接 g2o 库或者 g2o 库的版本不兼容导致的。使当前项目重新链接到g2o,可以更改CMakeists.txt文件里的内容,增加如下代码
target_link_libraries(project_name g2o -Wl,-rpath=${PROJECT_SOURCE_DIR}/../../../Thirdparty/g2o
)
/usr/bin/ld: warning: libopencv_core.so.4.2, needed by /opt/ros/noetic/lib/libcv_bridge.so, may conflict with libopencv_core.so.3.4
(十一)ORBSLAM2在ROS下运行_小C酱油兵的博客-CSDN博客
解决办法:报错原因是ROS和自己安装的opencv版本不一致,没有报错的情况下可以忽略警告,报错时根据提示注释掉VR相关代码。
在rosrun和rosbag后,bag的信息传不进去
rosrun ORB_SLAM3 RGBD Vocabulary/ORBvoc.txt Examples/RGB-D/TUM1.yaml
rosbag play rgbd_dataset_freiburg3_long_office_household.bag
解决办法:
查看话题:rostopic list
/cam0/image_raw
/cam1/image_raw
/camera/depth/camera_info
/camera/depth/image
/camera/depth_registered/image_raw
/camera/left/image_raw
/camera/rgb/camera_info
/camera/rgb/image_color
/camera/rgb/image_raw
/camera/right/image_raw
/clock
/cortex_marker_array
/imu0
/leica/position
/rosout
/rosout_agg
/tf
查看ros_rgbd.cc下的话题名称
message_filters::Subscriber rgb_sub(nh, "/camera/rgb/image_raw", 1);
message_filters::Subscriber depth_sub(nh, "camera/depth_registered/image_raw", 1);
将ros_rgbd.cc下的话题名称修改
message_filters::Subscriber rgb_sub(nh, "/camera/rgb/image_color", 1);
message_filters::Subscriber depth_sub(nh, "/camera/depth/image", 1);
经过上一步后发现能传入数据,但是生成的点云异常,
解决办法1: ROS中使用OpenCV读取深度图时,深度图中的0值会被解析为无效(NaN)值,从而未能成功获取深度信息的像素点,可以将深度值赋值为0,在PointCloudMapping::GeneratePointCloud修改如下代码:
void PointCloudMapping::GeneratePointCloud(KeyFrame* kf, cv::Mat &color_img, cv::Mat &depth_img)
{
PointCloud::Ptr tmp (new PointCloud());
for ( int m=0; m(m)[n];
//修改部分
if(std::isnan(d))
{
d = 0.0;
}
...
}
}
}
解决办法2:如果进行了滤波处理,可以修改double resolution = 0.00000001,修改后颜色显示正常,但存在明显的漂移,但效果较以前好很多。