First shot


  • Copy the .launch file in package VINS-Fusion to the directory of realsense2_cameara/launch
$ cp /home/william/catkin_ws/src/VINS-Fusion/config/realsense_d435i/rs_camera.launch /home/william/catkin_ws/src/realsense-2.1.3/realsense2_camera/launch/rs_imu_camear.launch
roslaunch vins vins_rviz.launch
rosrun vins vins_node ~/catkin_ws/src/VINS-Fusion/config/realsense_d435i/realsense_stereo_imu_config.yaml
(optional) rosrun loop_fusion loop_fusion_node ~/catkin_ws/src/VINS-Fusion/config/realsense_d435i/realsense_stereo_imu_config.yaml
roslaunch realsense2_camera rs_imu_camera.launch

then error occurred

[ERROR] [1555901595.625850921]: Hardware Notification:Right MIPI error,1.5559e+12,Error,Hardware Error

change the USB and Type-C hardware interface to another one because sometimes someone might don't work.

rosrun vins vins_node ~/catkin_ws/src/VINS-Fusion/config/realsense_d435i/realsense_stereo_imu_config.yaml
[ INFO] [1555916680.872819604]: init begins
config_file: /home/william/catkin_ws/src/VINS-Fusion/config/realsense_d435i/realsense_stereo_imu_config.yaml
USE_IMU: 1
IMU_TOPIC: /camera/imu
result path /home/william/Documents/output/vinsFusion//vio.csv
[ WARN] [1555916726.571724172]: Optimize extrinsic param around initial guess!
camera number 2
[ INFO] [1555916726.571853778]: Unsynchronized sensors, online estimate time offset, initial td: 0
[ INFO] [1555916726.571872262]: ROW: 480 COL: 640
exitrinsic cam 0
-0.00575863 -0.00404633 0.999975
-0.999983 -0.00102246 -0.00576281
0.00104575 -0.999991 -0.00404037
0.0203293 0.00793252 0.00285598
exitrinsic cam 1
-0.00100218 0.000363135 0.999999
-0.999992 -0.00383034 -0.00100078
0.00382998 -0.999993 0.000366971
0.0152858 -0.0524358 0.00869313
set g 0 0 9.805
[ INFO] [1555916726.572012229]: reading paramerter of camera /home/william/catkin_ws/src/VINS-Fusion/config/realsense_d435i/left.yaml
[ INFO] [1555916726.572176400]: reading paramerter of camera /home/william/catkin_ws/src/VINS-Fusion/config/realsense_d435i/right.yaml
MULTIPLE_THREAD is 1
[ WARN] [1555916726.572294355]: waiting for image and imu...
throw img0
throw img1
init first imu pose
averge acc -1602603144.533333 534233088.000000 534354329.600000
init R0
0.426462 0.639509 0.639655
0 0.707187 -0.707027
-0.904506 0.30152 0.301588
feature tracking not enough, please slowly move your device!
feature tracking not enough, please slowly move your device!
feature tracking not enough, please slowly move your device!
feature tracking not enough, please slowly move your device!
feature tracking not enough, please slowly move your device!
[ WARN] [1555916728.459035454]: gyroscope bias initial calibration -0.0933654 0.265827 -0.0616124
[ WARN] [1555916728.463995949]: numerical unstable in preintegration
[ WARN] [1555916728.464149835]: numerical unstable in preintegration
[ WARN] [1555916728.470874921]: numerical unstable in preintegration
...

update the latest version Realsense SDK (2.21.0) and ROS package (2.2)


merge the rs_camera.launch in VINS-Fusion and Realsense, put it in the directory of realsense2_cameara/launch

looks like this:

<launch>
<arg name="serial_no" default=""/>
<arg name="json_file_path" default=""/>
<arg name="camera" default="camera"/>
<arg name="tf_prefix" default="$(arg camera)"/> <arg name="fisheye_width" default="640"/>
<arg name="fisheye_height" default="480"/>
<arg name="enable_fisheye" default="true"/> <arg name="depth_width" default="640"/>
<arg name="depth_height" default="480"/>
<arg name="enable_depth" default="true"/> <arg name="infra_width" default="640"/>
<arg name="infra_height" default="480"/>
<arg name="enable_infra1" default="true"/>
<arg name="enable_infra2" default="true"/> <arg name="color_width" default="640"/>
<arg name="color_height" default="480"/>
<arg name="enable_color" default="true"/> <arg name="fisheye_fps" default="30"/>
<arg name="depth_fps" default="30"/>
<arg name="infra_fps" default="30"/>
<arg name="color_fps" default="30"/>
<arg name="gyro_fps" default="200"/>
<arg name="accel_fps" default="250"/>
<arg name="enable_gyro" default="true"/>
<arg name="enable_accel" default="true"/>
<!--
<arg name="enable_imu" default="true"/>
--> <arg name="enable_pointcloud" default="false"/>
<arg name="pointcloud_texture_stream" default="RS2_STREAM_COLOR"/>
<arg name="pointcloud_texture_index" default="0"/> <arg name="enable_sync" default="true"/>
<arg name="align_depth" default="true"/> <arg name="filters" default=""/>
<arg name="clip_distance" default="-2"/>
<arg name="linear_accel_cov" default="0.01"/>
<arg name="initial_reset" default="false"/>
<arg name="unite_imu_method" default="linear_interpolation"/>
<arg name="topic_odom_in" default="odom_in"/>
<arg name="calib_odom_file" default=""/>
<arg name="publish_odom_tf" default="true"/>
<arg name="hold_back_imu_for_frames" default="true"/> <group ns="$(arg camera)">
<include file="$(find realsense2_camera)/launch/includes/nodelet.launch.xml">
<arg name="tf_prefix" value="$(arg tf_prefix)"/>
<arg name="serial_no" value="$(arg serial_no)"/>
<arg name="json_file_path" value="$(arg json_file_path)"/> <arg name="enable_pointcloud" value="$(arg enable_pointcloud)"/>
<arg name="pointcloud_texture_stream" value="$(arg pointcloud_texture_stream)"/>
<arg name="pointcloud_texture_index" value="$(arg pointcloud_texture_index)"/>
<arg name="enable_sync" value="$(arg enable_sync)"/>
<arg name="align_depth" value="$(arg align_depth)"/> <arg name="fisheye_width" value="$(arg fisheye_width)"/>
<arg name="fisheye_height" value="$(arg fisheye_height)"/>
<arg name="enable_fisheye" value="$(arg enable_fisheye)"/> <arg name="depth_width" value="$(arg depth_width)"/>
<arg name="depth_height" value="$(arg depth_height)"/>
<arg name="enable_depth" value="$(arg enable_depth)"/> <arg name="color_width" value="$(arg color_width)"/>
<arg name="color_height" value="$(arg color_height)"/>
<arg name="enable_color" value="$(arg enable_color)"/> <arg name="infra_width" value="$(arg infra_width)"/>
<arg name="infra_height" value="$(arg infra_height)"/>
<arg name="enable_infra1" value="$(arg enable_infra1)"/>
<arg name="enable_infra2" value="$(arg enable_infra2)"/> <arg name="fisheye_fps" value="$(arg fisheye_fps)"/>
<arg name="depth_fps" value="$(arg depth_fps)"/>
<arg name="infra_fps" value="$(arg infra_fps)"/>
<arg name="color_fps" value="$(arg color_fps)"/>
<arg name="gyro_fps" value="$(arg gyro_fps)"/>
<arg name="accel_fps" value="$(arg accel_fps)"/>
<arg name="enable_gyro" value="$(arg enable_gyro)"/>
<arg name="enable_accel" value="$(arg enable_accel)"/>
<!--
<arg name="enable_imu" value="$(arg enable_imu)"/>
--> <arg name="filters" value="$(arg filters)"/>
<arg name="clip_distance" value="$(arg clip_distance)"/>
<arg name="linear_accel_cov" value="$(arg linear_accel_cov)"/>
<arg name="initial_reset" value="$(arg initial_reset)"/>
<arg name="unite_imu_method" value="$(arg unite_imu_method)"/>
<arg name="topic_odom_in" value="$(arg topic_odom_in)"/>
<arg name="calib_odom_file" value="$(arg calib_odom_file)"/>
<arg name="publish_odom_tf" value="$(arg publish_odom_tf)"/> </include>
</group>
</launch>

then roslaunch realsense2_camera rs_imu_camera.launch

error

unused args [enable_imu] for include of [/home/william/catkin_ws/src/realsense-2.2/realsense2_camera/launch/includes/nodelet.launch.xml]
The traceback for the exception was written to the log file

Delete everything related to enable_imu.

Seems like the same problem. Change the USB and Type-C hardware interface to another one because sometimes someone might don't work.

Error again.

$ rosrun vins vins_node ~/catkin_ws/src/VINS-Fusion/config/realsense_d435i/realsense_stereo_imu_config.yaml
[ INFO] [1556005316.069145892]: init begins
config_file: /home/william/catkin_ws/src/VINS-Fusion/config/realsense_d435i/realsense_stereo_imu_config.yaml
USE_IMU: 1
IMU_TOPIC: /camera/imu
result path /home/william/Documents/output/vinsFusion//vio.csv
[ WARN] [1556005316.073310738]: Optimize extrinsic param around initial guess!
camera number 2
[ INFO] [1556005316.073429273]: Unsynchronized sensors, online estimate time offset, initial td: 0
[ INFO] [1556005316.073443294]: ROW: 480 COL: 640
exitrinsic cam 0
-0.00575863 -0.00404633 0.999975
-0.999983 -0.00102246 -0.00576281
0.00104575 -0.999991 -0.00404037
0.0203293 0.00793252 0.00285598
exitrinsic cam 1
-0.00100218 0.000363135 0.999999
-0.999992 -0.00383034 -0.00100078
0.00382998 -0.999993 0.000366971
0.0152858 -0.0524358 0.00869313
set g 0 0 9.805
[ INFO] [1556005316.073557518]: reading paramerter of camera /home/william/catkin_ws/src/VINS-Fusion/config/realsense_d435i/left.yaml
[ INFO] [1556005316.073686245]: reading paramerter of camera /home/william/catkin_ws/src/VINS-Fusion/config/realsense_d435i/right.yaml
MULTIPLE_THREAD is 1
[ WARN] [1556005316.073774275]: waiting for image and imu...
wait for imu ...
wait for imu ...
...

grep -rn * -ie wait

src/estimator/estimator.cpp:141:        printf("wait for imu\n");
src/estimator/estimator.cpp:172: printf("wait for imu ... \n");
src/KITTIGPSTest.cpp:181: // cv::waitKey(2);
src/KITTIOdomTest.cpp:117: //cv::waitKey(2);
src/rosNodeTest.cpp:223: ROS_WARN("waiting for image and imu...");
src/featureTracker/feature_tracker.cpp:395: // cv::waitKey(0);
src/featureTracker/feature_tracker.cpp:508: // cv::waitKey(2);

gedit src/estimator/estimator.cpp

bool Estimator::getIMUInterval(double t0, double t1, vector<pair<double, Eigen::Vector3d>> &accVector,
vector<pair<double, Eigen::Vector3d>> &gyrVector)
{
if(accBuf.empty())
{
printf("not receive imu\n");
return false;
}
//printf("get imu from %f %f\n", t0, t1);
//printf("imu fornt time %f imu end time %f\n", accBuf.front().first, accBuf.back().first);
if(t1 <= accBuf.back().first)
{
while (accBuf.front().first <= t0)
{
accBuf.pop();
gyrBuf.pop();
}
while (accBuf.front().first < t1)
{
accVector.push_back(accBuf.front());
accBuf.pop();
gyrVector.push_back(gyrBuf.front());
gyrBuf.pop();
}
accVector.push_back(accBuf.front());
gyrVector.push_back(gyrBuf.front());
}
else
{
printf("wait for imu\n");
return false;
}
return true;
}

in this function, t1 <= accBuf.back().first. Search the Internet, nothing similar like this.

3rd shot


Refer to blog 如何用Realsense D435i运行VINS-Mono等VIO算法 获取IMU同步数据, this guy had run VINS-MONO with D435i.

Modify realsense_color_config.yaml, then it looks like:

%YAML:1.0

#common parameters
imu_topic: "/camera/imu"
image_topic: "/camera/color/image_raw"
output_path: "/home/william/Documents/output/vinsMono/" #camera calibration
model_type: PINHOLE
camera_name: camera
image_width: 640
image_height: 480
distortion_parameters:
k1: 9.2615504465028850e-02
k2: -1.8082438825995681e-01
p1: -6.5484100374765971e-04
p2: -3.5829351558557421e-04
projection_parameters:
fx: 6.0970550296798035e+02
fy: 6.0909579671294716e+02
cx: 3.1916667152289227e+02
cy: 2.3558360480225772e+02 # Extrinsic parameter between IMU and Camera.
estimate_extrinsic: 0 # 0 Have an accurate extrinsic parameters. We will trust the following imu^R_cam, imu^T_cam, don't change it.
# 1 Have an initial guess about extrinsic parameters. We will optimize around your initial guess.
# 2 Don't know anything about extrinsic parameters. You don't need to give R,T. We will try to calibrate it. Do some rotation movement at beginning.
#If you choose 0 or 1, you should write down the following matrix.
#Rotation from camera frame to imu frame, imu^R_cam
extrinsicRotation: !!opencv-matrix
rows: 3
cols: 3
dt: d
data: [ 0.99964621, 0.01105994, 0.02418954,
-0.01088975, 0.9999151, -0.00715601,
-0.02426663, 0.00689006, 0.99968178]
#Translation from camera frame to imu frame, imu^T_cam
extrinsicTranslation: !!opencv-matrix
rows: 3
cols: 1
dt: d
data: [0.07494282, -0.01077138, -0.00641822] #feature traker paprameters
max_cnt: 150 # max feature number in feature tracking
min_dist: 25 # min distance between two features
freq: 10 # frequence (Hz) of publish tracking result. At least 10Hz for good estimation. If set 0, the frequence will be same as raw image
F_threshold: 1.0 # ransac threshold (pixel)
show_track: 1 # publish tracking image as topic
equalize: 0 # if image is too dark or light, trun on equalize to find enough features
fisheye: 0 # if using fisheye, trun on it. A circle mask will be loaded to remove edge noisy points #optimization parameters
max_solver_time: 0.04 # max solver itration time (ms), to guarantee real time
max_num_iterations: 8 # max solver itrations, to guarantee real time
keyframe_parallax: 10.0 # keyframe selection threshold (pixel) #imu parameters The more accurate parameters you provide, the better performance
acc_n: 0.2 # accelerometer measurement noise standard deviation. #0.2
gyr_n: 0.05 # gyroscope measurement noise standard deviation. #0.05
acc_w: 0.002 # accelerometer bias random work noise standard deviation. #0.02
gyr_w: 4.0e-5 # gyroscope bias random work noise standard deviation. #4.0e-5
g_norm: 9.80 # gravity magnitude #loop closure parameters
loop_closure: 1 # start loop closure
fast_relocalization: 1 # useful in real-time and large project
load_previous_pose_graph: 0 # load and reuse previous pose graph; load from 'pose_graph_save_path'
pose_graph_save_path: "/home/tony-ws1/output/pose_graph/" # save and load path #unsynchronization parameters
estimate_td: 0 # online estimate time offset between camera and imu
td: 0.000 # initial value of time offset. unit: s. readed image clock + td = real image clock (IMU clock) #rolling shutter parameters
rolling_shutter: 1 # 0: global shutter camera, 1: rolling shutter camera
rolling_shutter_tr: 0.033 # unit: s. rolling shutter read out time per frame (from data sheet). #visualization parameters
save_image: 1 # save image in pose graph for visualization prupose; you can close this function by setting 0
visualize_imu_forward: 0 # output imu forward propogation to achieve low latency and high frequence results
visualize_camera_size: 0.4 # size of camera marker in RVIZ

Error [ WARN] [1556065325.371664369]: imu message in disorder!

According to issues getting ros warn imu message in disorder #204 and Doubts about camera-imu temporal calibration #270 in GitHub, definitely it's the problem of unsynchroned image and imu datas.

Reduce fps of imu stream < 100 hz

VIN-Fusion config with Realsense D435i的更多相关文章

  1. Launch VINS-Mono with Realsense D435i in RTAB-Map

    Preparation: Remap topic from D435i to rtabmap Feed the odometry to rtabmap In the rqt_graph of vins ...

  2. Ubuntu 16.04 + Realsense D435i + ROS 环境配置

    参考: [1] Realsense-Ros: https://github.com/IntelRealSense/realsense-ros#installation-instructions [2] ...

  3. realsense d435i問題太多了

    Selecting Windows SDK version 10.0.17134.0 to target Windows 10.0.18362. Internet connection identif ...

  4. ROS kinetic + Realsens D435i + ORK + LINEMOD 物体识别

    1. ORK 网址:https://wg-perception.github.io/object_recognition_core/ ORK (Object Recognition Kitchen) ...

  5. Kalibr installation tutorial

    How to install Kalibr I was confused about installing Kalibr, but there is no even one hint in READM ...

  6. server computer (实验室移动服务器环境)

    star@xmatrix:~$ lshwWARNING: you should run this program as super-user.xmatrix                       ...

  7. Ubuntu16.04安装RealSense SR300驱动

    原文链接 https://blog.csdn.net/u013401766/article/details/78472285 第一步:CMake 3.14.0 安装 1)下载cmake-3.14.1. ...

  8. error——Fusion log——Debugging Assembly Loading Failures

    原文 So...you're seeing a FileNotFoundException, FileLoadException, BadImageFormatException or you sus ...

  9. ubuntu下安装intel realsense驱动

    在安装之前一定要确保系统是ubuntu 14.04.3 64位! 由于一开始安装的是32位系统,导致在升级内核版本到4.4时各种问题,最终靠重装系统解决. 因为intel给出的测试代码均是在64位14 ...

随机推荐

  1. 搭建了一个在线的机器学习webshell检测RESTful API

    # 地址: http://118.190.147.89:5001/ 如果不能访问,联系sevck#jdsec.com # 说明: 简单的基于机器学习检测webshell:目前只支持php的检测 #使用 ...

  2. list map set 集合的区别

    Java中的集合包括三大类,它们是Set.List和Map,它们都处于java.util包中,Set.List和Map都是接口,它们有各自的实现 类.Set的实现类主要有HashSet和TreeSet ...

  3. s3c6410存储器映射

    1.引导镜像区 0x0000_0000~0x07FF_FFFF 2.内部存储区 (1) 内部ROM 0x0800_0000~0x0BFF_FFFF (2) 内部SRAM 0x0C00_0000~0x0 ...

  4. 配置Linux的SSH双重认证

    背景:双因子认证(简称:2FA,以下简称2FA),在这里其为SSH的第二重认证.2FA指的是密码以及实物(信用卡.SMS手机.令牌或指纹等生物标志)两种条件对用户进行认证的方法.通过两种不同的认证程序 ...

  5. Solr4.3---4.6删除数据的办法

    Solr4.6的管理界面上,如果不配置数据导入的功能,将看不到清除数据的按钮.我表示很遗憾,正好我们线上没有配置数据导入的功能. 网上搜到的各种清理solr数据的HTTP请求,拿到我的solr4.6上 ...

  6. VS快捷键小收集

    1. Ctrl-M-O 折叠所有方法      Ctrl-M-M 折叠或展开当前方法     Ctrl-M-L 展开所有方法 2. 行编辑(复制,剪切,删除,交换) 当你在光标停留行使用快捷键Ctrl ...

  7. 刷题向》DP》值得一做》关于对DP问题的充分考虑(normal)

    在你辛苦调试一道DP题,遇到瓶颈的时候,你是否感到一股洪荒之力遏制住你的思想,使你给题库贡献了一倍的WA.RE.TLE量,却没有AC过一次? 在这时,你应该考虑的是砸电脑再次重新考虑整个题目,再应对自 ...

  8. C# 把一个文件夹下所有文件复制到另一个文件夹下 把一个文件夹下所有文件删除(转)

    C# 把一个文件夹下所有文件复制到另一个文件夹下   public static void CopyDirectory(string srcPath, string destPath) { try { ...

  9. SpringMVC 课程第一天

    SpringMVC第一天   框架课程 1. 课程计划 第一天 1.SpringMVC介绍 2.入门程序 3.SpringMVC架构讲解 a) 框架结构 b) 组件说明 4.SpringMVC整合My ...

  10. vmware workstation + kvm 部署

    1.物理机BIOS设置里开启虚拟化功能 2.vm里面开启一下两个功能 3.找到存放该虚拟机的dir,找到以.vmx结尾的文件,增加一行 apic.xapic.enabled = "FALSE ...