下载编译code_utils
mkdir -p ~/imu_catkin_ws/src
cd ~/imu_catkin_ws/src
catkin_init_workspace
source ~/imu_catkin_ws/devel/setup.bash
git clone https://github.com/gaowenliang/code_utils.git
cd ..
catkin_make
报错：sumpixel_test.cpp:2:10: fatal error: backward.hpp: 没有那个文件或目录，将sumpixel_test.cpp中# include "backward.hpp"改为：#include “code_utils/backward.hpp”。
报错
修改成： cv::IMREAD_UNCHANGED
Mat img1 = imread( "/home/gao/IMG_1.png", cv::IMREAD_UNCHANGED );
sudo apt-get install libdw-dev
添加
#include <opencv2/opencv.hpp>
#include <time.h>
下载编译imu_utils
cd ~/imu_catkin_ws/src/
git clone https://github.com/gaowenliang/imu_utils.git
cd ..
catkin_make
安装kalibr 依赖
sudo apt-get install python3-setuptools
sudo apt-get install python3-setuptools python3-rosinstall python3-ipython libeigen3-dev libboost-all-dev doxygen libopencv-dev
sudo apt-get install libopencv-dev ros-noetic-vision-opencv ros-noetic-image-transport-plugins ros-noetic-cmake-modules python3-software-properties software-properties-common libpoco-dev python3-matplotlib python3-scipy python3-git python3-pip libtbb-dev libblas-dev liblapack-dev python3-catkin-tools libv4l-dev
sudo pip install python-igraph --upgrade
如果不成功，则可以直接安装：
sudo apt-get install python-igraph
sudo apt-get install python3-pyx
sudo apt-get install python3-wxgtk4.0
sudo apt-get install python3-igraph
sudo apt-get install python3-scipy
mkdir -p ~/kalibr_ws/src
cd ~/kalibr_ws
source /opt/ros/noetic/setup.bash
catkin init
catkin config --extend /opt/ros/noetic
catkin config --cmake-args -DCMAKE_BUILD_TYPE=Release
cd ~/kalibr_ws/src
git clone https://github.com/ethz-asl/Kalibr.git
cd ~/kalibr_ws
catkin build -DCMAKE_BUILD_TYPE=Release -j32
重新打开一个终端：
echo "source ~/kalibr_ws/devel/setup.bash" >> ~/.bashrc
source ~/.bashrc
IMU标定
创建rs_imu_calibration.launch
找到realsense-ros包，进入/catkin_ws/src/realsense2_camera/launch（路径仅供参考），复制其中的rs_camera.launch，并重命名为rs_imu_calibration.launch(命名随意)，并对里面的内容做如下更改
<arg name="unite_imu_method" default=""/>
// ########### 改为#############
<arg name="unite_imu_method" default="linear_interpolation"/>
<arg name="enable_gyro" default="false"/> “false” 改为”true”
<arg name="enable_accel" default="false"/> “false” 改为”true”
<launch>
<arg name="serial_no" default=""/>
<arg name="usb_port_id" default=""/>
<arg name="device_type" default=""/>
<arg name="json_file_path" default=""/>
<arg name="camera" default="camera"/>
<arg name="tf_prefix" default="$(arg camera)"/>
<arg name="external_manager" default="false"/>
<arg name="manager" default="realsense2_camera_manager"/>
<arg name="output" default="screen"/>
<arg name="respawn" default="false"/>
<arg name="fisheye_width" default="-1"/>
<arg name="fisheye_height" default="-1"/>
<arg name="enable_fisheye" default="false"/>
<arg name="depth_width" default="640"/>
<arg name="depth_height" default="480"/>
<arg name="enable_depth" default="true"/>
<arg name="confidence_width" default="-1"/>
<arg name="confidence_height" default="-1"/>
<arg name="enable_confidence" default="true"/>
<arg name="confidence_fps" default="-1"/>
<arg name="infra_width" default="640"/>
<arg name="infra_height" default="480"/>
<arg name="enable_infra" default="true"/>
<arg name="enable_infra1" default="true"/>
<arg name="enable_infra2" default="true"/>
<arg name="infra_rgb" default="false"/>
<arg name="color_width" default="640"/>
<arg name="color_height" default="480"/>
<arg name="enable_color" default="true"/>
<arg name="fisheye_fps" default="-1"/>
<arg name="depth_fps" default="30"/>
<arg name="infra_fps" default="30"/>
<arg name="color_fps" default="30"/>
<arg name="gyro_fps" default="-1"/>
<arg name="accel_fps" default="-1"/>
<arg name="enable_gyro" default="true"/>
<arg name="enable_accel" 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="allow_no_texture_points" default="false"/>
<arg name="ordered_pc" default="false"/>
<arg name="enable_sync" default="true"/>
<arg name="align_depth" default="true"/>
<arg name="publish_tf" default="true"/>
<arg name="tf_publish_rate" default="0"/>
<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="reconnect_timeout" default="6.0"/>
<arg name="wait_for_device_timeout" default="-1.0"/>
<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"/>
<arg name="stereo_module/exposure/1" default="7500"/>
<arg name="stereo_module/gain/1" default="16"/>
<arg name="stereo_module/exposure/2" default="1"/>
<arg name="stereo_module/gain/2" default="16"/>
<group ns="$(arg camera)">
<include file="$(find realsense2_camera)/launch/includes/nodelet.launch.xml">
<arg name="tf_prefix" value="$(arg tf_prefix)"/>
<arg name="external_manager" value="$(arg external_manager)"/>
<arg name="manager" value="$(arg manager)"/>
<arg name="output" value="$(arg output)"/>
<arg name="respawn" value="$(arg respawn)"/>
<arg name="serial_no" value="$(arg serial_no)"/>
<arg name="usb_port_id" value="$(arg usb_port_id)"/>
<arg name="device_type" value="$(arg device_type)"/>
<arg name="json_file_path" value="$(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="$(arg enable_depth)"/>
<arg name="confidence_width" value="$(arg confidence_width)"/>
<arg name="confidence_height" value="$(arg confidence_height)"/>
<arg name="enable_confidence" value="$(arg enable_confidence)"/>
<arg name="confidence_fps" value="$(arg confidence_fps)"/>
<arg name="color_width" value="$(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_infra" value="$(arg enable_infra)"/>
<arg name="enable_infra1" value="$(arg enable_infra1)"/>
<arg name="enable_infra2" value="$(arg enable_infra2)"/>
<arg name="infra_rgb" value="$(arg infra_rgb)"/>
<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="publish_tf" value="$(arg publish_tf)"/>
<arg name="tf_publish_rate" value="$(arg tf_publish_rate)"/>
<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="reconnect_timeout" value="$(arg reconnect_timeout)"/>
<arg name="wait_for_device_timeout" value="$(arg wait_for_device_timeout)"/>
<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)"/>
<arg name="stereo_module/exposure/1" value="$(arg stereo_module/exposure/1)"/>
<arg name="stereo_module/gain/1" value="$(arg stereo_module/gain/1)"/>
<arg name="stereo_module/exposure/2" value="$(arg stereo_module/exposure/2)"/>
<arg name="stereo_module/gain/2" value="$(arg stereo_module/gain/2)"/>
<arg name="allow_no_texture_points" value="$(arg allow_no_texture_points)"/>
<arg name="ordered_pc" value="$(arg ordered_pc)"/>
</include>
</group>
</launch>
将accel和gyro的数据合并得到imu话题，如果不这样做发布的topic中只有加速度计和陀螺仪分开的topic，没有合并的camera/imu 话题。
创建d435i_imu_calibration.launch
在~/imu_catkin_ws/src/imu_utils/launch路径创建d435i_imu_calibration.launch
cd ~/imu_catkin_ws/src/imu_utils/launch
gedit d435i_imu_calibration.launch
<launch>
<node pkg="imu_utils" type="imu_an" name="imu_an" output="screen">
<!--TOPIC名称和上面一致-->
<param name="imu_topic" type="string" value= "/camera/imu"/>
<!--imu_name 无所谓-->
<param name="imu_name" type="string" value= "d435i"/>
<!--标定结果存放路径-->
<param name="data_save_path" type="string" value= "$(find imu_utils)/data/"/>
<!--数据录制时间-min 120分钟 可以自行修改 一般要大于60-->
<param name="max_time_min" type="int" value= "120"/>
<!--采样频率，即是IMU频率，采样频率可以使用rostopic hz /camera/imu查看，设置为400，为后面的rosbag play播放频率-->
<param name="max_cluster" type="int" value= "400"/>
</node>
</launch>
录制imu数据包
插上相机，realsense静止放置，放置时间要稍大于d435i_imu_calibration.launch中的录制时间，即大于120分钟。
roscore
roslaunch realsense2_camera rs_imu_calibration.launch
cd ~/imu_catkin_ws //等下录制到这个文件夹上
rosbag record -O imu_calibration /camera/imu // 生成的包名称imu_calibration.bag
目录有一个名为 imu_calibration.bag的文件，其中imu_calibration是bag包的名字，可以更改，/camera/imu是发布的IMU topic，可以通过以下命令查看。
rostopic list -v
运行校准程序
首先激活imu_util工作空间的setup.bash
source ~/imu_catkin_ws/devel/setup.bash
roslaunch imu_utils d435i_imu_calibration.launch
回放数据包
打开新的终端，cd 存放imu_calibration.bag的路径。
source ~/imu_catkin_ws/devel/setup.sh
cd ~/imu_catkin_ws //数据包在这个文件夹下
rosbag play -r 400 imu_calibration.bag 其中 -r 400是指400速播放bag数据
标定结果
标定结束后在imu_catkin_ws/src/imu_utils/data中生成许多文件，其中d435i_imu_param.yaml就是我们想要的结果
这是我的
%YAML:1.0
---
type: IMU
name: d435i
Gyr:
unit: " rad/s"
avg-axis:
gyr_n: 2.3713647521442301e-03
gyr_w: 1.6634786328395575e-05
x-axis:
gyr_n: 2.5527723048677621e-03
gyr_w: 1.8248792841502254e-05
y-axis:
gyr_n: 3.5989014238402488e-03
gyr_w: 2.4626070373926136e-05
z-axis:
gyr_n: 9.6242052772467902e-04
gyr_w: 7.0294957697583380e-06
Acc:
unit: " m/s^2"
avg-axis:
acc_n: 1.2272815309641657e-02
acc_w: 2.2269630970713836e-04
x-axis:
acc_n: 1.0855035063883016e-02
acc_w: 1.9977097068680263e-04
y-axis:
acc_n: 1.2175166782188903e-02
acc_w: 1.8151134885911570e-04
z-axis:
acc_n: 1.3788244082853051e-02
acc_w: 2.8680660957549681e-04
realsense自带的参数：
roslaunch realsense2_camera rs_camera.launch
rostopic echo /camera/accel/imu_info
rostopic echo /camera/gyro/imu_info
双目标定
创建april_6x6_A4.yaml文件
target_type: 'aprilgrid' #gridtype
tagCols: 6 #number of apriltags
tagRows: 6 #number of apriltags
tagSize: 0.021 #这个为a要亲自拿尺子量一下
tagSpacing: 0.308 #这个就是b/a
关闭结构光
roslaunch realsense2_camera rs_imu_calibration.launch
rosrun rqt_reconfigure rqt_reconfigure
rviz
修改相机的帧数（官方推荐是4Hz）
rosrun topic_tools throttle messages /camera/color/image_raw 4.0 /color
rosrun topic_tools throttle messages /camera/infra1/image_rect_raw 4.0 /infra_left
rosrun topic_tools throttle messages /camera/infra2/image_rect_raw 4.0 /infra_right
录制ROS数据包
rosbag record -O multicameras_calibration /infra_left /infra_right /color
bag文件属性信息：
rosbag info multicameras_calibration.bag
使用Kalibr标定
注意：标定前先关掉相机，否者会报错
source devel/setup.bash
//kalibr_calibrate_cameras --target /位置/文件名.yaml --bag /位置/camd435i.bag --bag-from-to 26 100 --models pinhole-radtan --topics /color --show-extraction
kalibr_calibrate_cameras --target april_6x6_A4.yaml --bag multicameras_calibration.bag --models pinhole-equi pinhole-equi pinhole-equi --topics /infra_left /infra_right /color --bag-from-to 10 100 --show-extraction
报错：ImportError: No module named wx
sudo apt-get install python3-wxgtk4.0
sudo apt-get install python3-igraph
sudo apt-get install python3-scipy
multicameras_calibration-camchain.yaml
cam0:
cam_overlaps: [1, 2]
camera_model: pinhole
distortion_coeffs: [0.42241273556155506, 0.20864813180833605, 0.3979238261062836, 0.5898003650060837]
distortion_model: equidistant
intrinsics: [394.73897935327875, 397.07609983064, 328.08812327934135, 229.9742739261273]
resolution: [640, 480]
rostopic: /infra_left
cam1:
T_cn_cnm1:
- [0.9994978959284028, -0.0004960676303391997, 0.031681381781581835, -0.049405645049756246]
- [0.0006353578883581325, 0.9999901766268545, -0.00438668099301463, 1.6793675995192084e-05]
- [-0.03167889447310175, 0.004404607438456279, 0.9994883926681007, 0.0014256336467758425]
- [0.0, 0.0, 0.0, 1.0]
cam_overlaps: [0, 2]
camera_model: pinhole
distortion_coeffs: [0.5127606598499351, -0.5373699037573214, 3.847162303528836, -5.204634833610096]
distortion_model: equidistant
intrinsics: [395.31081333647796, 396.67650876842976, 315.71216250025896, 232.01383312375893]
resolution: [640, 480]
rostopic: /infra_right
cam2:
T_cn_cnm1:
- [0.9991511714157386, 0.020802684247929682, -0.03555537915201736, 0.06452938946495283]
- [-0.020609341536016703, 0.9997708061292826, 0.005795709884189747, -0.0014703526867445732]
- [0.035667796399758, -0.005058017367587453, 0.9993509017158588, -0.0007200130467801373]
- [0.0, 0.0, 0.0, 1.0]
cam_overlaps: [0, 1]
camera_model: pinhole
distortion_coeffs: [0.3039064497137355, 2.82427913352034, -12.205548022168468, 18.250389840037823]
distortion_model: equidistant
intrinsics: [617.5837233756131, 622.6983038282931, 334.8320211033824, 228.30163838242865]
resolution: [640, 480]
rostopic: /color
multicameras_calibration-results-cam.txt
Calibration results
====================
Camera-system parameters:
cam0 (/infra_left):
type: <class 'aslam_cv.libaslam_cv_python.EquidistantDistortedPinholeCameraGeometry'>
distortion: [0.42241274 0.20864813 0.39792383 0.58980037] +- [0.00610485 0.032712 0.08188243 0.11031642]
projection: [394.73897935 397.07609983 328.08812328 229.97427393] +- [0.19306522 0.20612486 0.24778634 0.28703445]
reprojection error: [0.000124, 0.000100] +- [0.657585, 0.919360]
cam1 (/infra_right):
type: <class 'aslam_cv.libaslam_cv_python.EquidistantDistortedPinholeCameraGeometry'>
distortion: [ 0.51276066 -0.5373699 3.8471623 -5.20463483] +- [0.00641909 0.03425317 0.07009558 0.09962364]
projection: [395.31081334 396.67650877 315.7121625 232.01383312] +- [0.21098982 0.21177575 0.24814252 0.27660172]
reprojection error: [0.000054, 0.000101] +- [0.574125, 0.899336]
cam2 (/color):
type: <class 'aslam_cv.libaslam_cv_python.EquidistantDistortedPinholeCameraGeometry'>
distortion: [ 0.30390645 2.82427913 -12.20554802 18.25038984] +- [0.01032272 0.08120627 0.17338616 0.1112109 ]
projection: [617.58372338 622.69830383 334.8320211 228.30163838] +- [0.2006613 0.19860848 0.35937867 0.42222736]
reprojection error: [0.000159, 0.000139] +- [0.970352, 1.187701]
baseline T_1_0:
q: [-0.0021981 -0.0158421 -0.00028289 0.99987205] +- [0.00041294 0.00031982 0.00009754]
t: [-0.04940565 0.00001679 0.00142563] +- [0.00005321 0.00004922 0.0001863 ]
baseline T_2_1:
q: [0.00271402 0.01780964 0.01035524 0.99978409] +- [0.00043723 0.00034848 0.00010065]
t: [ 0.06452939 -0.00147035 -0.00072001] +- [0.00005198 0.00004369 0.00017821]
Target configuration
====================
Type: aprilgrid
Tags:
Rows: 6
Cols: 6
Size: 0.021 [m]
Spacing 0.006468000000000001 [m]
imu+双目标定
创建：camchain.yaml：
gedit camchain.yaml
cam0:
camera_model: pinhole
intrinsics: [394.73897935327875, 397.07609983064, 328.08812327934135, 229.9742739261273]
distortion_model: equidistant
distortion_coeffs: [0.42241273556155506, 0.20864813180833605, 0.3979238261062836, 0.5898003650060837]
rostopic: /infra_left
resolution: [640, 480]
cam1:
T_cn_cnm1:
- [0.9994978959284028, -0.0004960676303391997, 0.031681381781581835, -0.049405645049756246]
- [0.0006353578883581325, 0.9999901766268545, -0.00438668099301463, 1.6793675995192084e-05]
- [-0.03167889447310175, 0.004404607438456279, 0.9994883926681007, 0.0014256336467758425]
- [0.0, 0.0, 0.0, 1.0]
camera_model: pinhole
intrinsics: [395.31081333647796, 396.67650876842976, 315.71216250025896, 232.01383312375893]
distortion_model: equidistant
distortion_coeffs: [0.5127606598499351, -0.5373699037573214, 3.847162303528836, -5.204634833610096]
rostopic: /infra_right
resolution: [640, 480]
创建： imu.yaml
gedit imu.yaml
#Accelerometers
accelerometer_noise_density: 1.2272815309641657e-02 #Noise density (continuous-time)
accelerometer_random_walk: 2.2269630970713836e-04 #Bias random walk
#Gyroscopes
gyroscope_noise_density: 2.3713647521442301e-03 #Noise density (continuous-time)
gyroscope_random_walk: 1.6634786328395575e-05 #Bias random walk
rostopic: /imu #the IMU ROS topic
update_rate: 200.0 #Hz (for discretization of the values above)
修改：rs_imu_stereo.launch
复制realsense-ros包中rs_camera.launch，重命名为rs_imu_stereo.launch，更改内容为
<arg name="enable_sync" default="false"/>
//改为：
<arg name="enable_sync" default="true"/>
这样来使imu和双目数据时间对齐
<arg name="unite_imu_method" default=""/>
//改为
<arg name="unite_imu_method" default="linear_interpolation"/>
开启相机
roslaunch realsense2_camera rs_imu_calibration.launch
关闭IR结构光，参考上面
rosrun rqt_reconfigure rqt_reconfigure
录制 相机 和 imu 的联合数据
调整 相机 和 imu 的 topic 的发布频率以及以新的topic名发布它们，其中双目图像的发布频率改为20Hz，imu发布频率改为200Hz
rosrun topic_tools throttle messages /camera/infra1/image_rect_raw 4.0 /infra_left
rosrun topic_tools throttle messages /camera/infra2/image_rect_raw 4.0 /infra_right
rosrun topic_tools throttle messages /camera/imu 200.0 /imu
开始录制
rosbag record /infra_left /infra_right /imu -O imu_stereo.bag
注意：完成录制后把相机关掉，和其他的发布的话题也关闭
运行
rosrun kalibr kalibr_calibrate_imu_camera --bag imu_stereo.bag --cam camchain.yaml --imu imu.yaml --target april_6x6_A4.yaml --bag-from-to 10 50 --show-extraction
其中：
--target ../Aprilgrid/april_6x6_50x50cm_A4.yaml是标定板的配置文件，如果选择棋格盘，注意targetCols和targetRows表示的是内侧角点的数量，不是格子数量。
--bag ../multicameras_calibration_2020-10-29-20-19-06.bag是录制的数据包；
--models pinhole-equi pinhole-equi pinhole-equi表示三个摄像头的相机模型和畸变模型（解释参考https://github.com/ethz-asl/kalibr/wiki/supported-models，根据需要选取）；
--topics /infra_left /infra_right /color表示三个摄像头对应的拍摄的数据话题；
–bag-from-to 10 100表示处理bag中10-100秒的数据。（我在实验过程中没有加–bag-from-to 10 100，所以处理的是bag里所有的数据，标定时间比较长）
–show-extraction表示显示检测特征点的过程。
这些参数可以相应的调整。
imu_stereo-camchain-imucam.yaml
cam0:
T_cam_imu:
- [0.9998706466800502, -0.0005514101338320241, 0.016074385042181456, -0.009727195729487593]
- [0.0004398826122011197, 0.9999758147457678, 0.0069409240614884855, 0.002409052480480027]
- [-0.016077823574958232, -0.006932955387435725, 0.99984670710999, -0.02941555702845951]
- [0.0, 0.0, 0.0, 1.0]
camera_model: pinhole
distortion_coeffs: [0.42241273556155506, 0.20864813180833605, 0.3979238261062836, 0.5898003650060837]
distortion_model: equidistant
intrinsics: [394.73897935327875, 397.07609983064, 328.08812327934135, 229.9742739261273]
resolution: [640, 480]
rostopic: /infra_left
timeshift_cam_imu: -0.01115013714316784
cam1:
T_cam_imu:
- [0.9988590216788663, -0.0012668345078801814, 0.047739396111261004, -0.06006107726015477]
- [0.0011456822768613126, 0.9999960539310532, 0.0025650603195308754, 0.0025486789058311375]
- [-0.04774245723524004, -0.0025074394612811563, 0.9988565315021419, -0.02765611642952738]
- [0.0, 0.0, 0.0, 1.0]
T_cn_cnm1:
- [0.9994978959284052, -0.0004960676303391998, 0.03168138178158184, -0.049405645049756246]
- [0.0006353578883581324, 0.999990176626857, -0.004386680993014631, 1.6793675995192084e-05]
- [-0.03167889447310176, 0.00440460743845628, 0.9994883926681032, 0.0014256336467758425]
- [0.0, 0.0, 0.0, 1.0]
camera_model: pinhole
distortion_coeffs: [0.5127606598499351, -0.5373699037573214, 3.847162303528836, -5.204634833610096]
distortion_model: equidistant
intrinsics: [395.31081333647796, 396.67650876842976, 315.71216250025896, 232.01383312375893]
resolution: [640, 480]
rostopic: /infra_right
timeshift_cam_imu: -0.01179951195993147
imu_stereo-imu.yaml
imu0:
T_i_b:
- [1.0, 0.0, 0.0, 0.0]
- [0.0, 1.0, 0.0, 0.0]
- [0.0, 0.0, 1.0, 0.0]
- [0.0, 0.0, 0.0, 1.0]
accelerometer_noise_density: 0.012272815309641657
accelerometer_random_walk: 0.00022269630970713836
gyroscope_noise_density: 0.00237136475214423
gyroscope_random_walk: 1.6634786328395575e-05
model: calibrated
rostopic: /imu
time_offset: 0.0
update_rate: 200.0
imu_stereo-results-imucam.txt
Calibration results
===================
Normalized Residuals
----------------------------
Reprojection error (cam0): mean 0.3935652501477467, median 0.34647466427290496, std: 0.24000390105212327
Reprojection error (cam1): mean 0.40672475151297405, median 0.35408707621982244, std: 0.25805651611847996
Gyroscope error (imu0): mean 0.25718333066848914, median 0.1978018986985239, std: 0.1868255561754322
Accelerometer error (imu0): mean 0.16651624576366744, median 0.1500647834791136, std: 0.08979584592008485
Residuals
----------------------------
Reprojection error (cam0) [px]: mean 0.3935652501477467, median 0.34647466427290496, std: 0.24000390105212327
Reprojection error (cam1) [px]: mean 0.40672475151297405, median 0.35408707621982244, std: 0.25805651611847996
Gyroscope error (imu0) [rad/s]: mean 0.008624941825093504, median 0.006633516506428987, std: 0.006265412106085885
Accelerometer error (imu0) [m/s^2]: mean 0.028901195472671417, median 0.026045816857109837, std: 0.015585309911764239
Transformation (cam0):
-----------------------
T_ci: (imu0 to cam0):
[[ 0.99987065 -0.00055141 0.01607439 -0.0097272 ]
[ 0.00043988 0.99997581 0.00694092 0.00240905]
[-0.01607782 -0.00693296 0.99984671 -0.02941556]
[ 0. 0. 0. 1. ]]
T_ic: (cam0 to imu0):
[[ 0.99987065 0.00043988 -0.01607782 0.00925194]
[-0.00055141 0.99997581 -0.00693296 -0.00261829]
[ 0.01607439 0.00694092 0.99984671 0.02955069]
[ 0. 0. 0. 1. ]]
timeshift cam0 to imu0: [s] (t_imu = t_cam + shift)
-0.01115013714316784
Transformation (cam1):
-----------------------
T_ci: (imu0 to cam1):
[[ 0.99885902 -0.00126683 0.0477394 -0.06006108]
[ 0.00114568 0.99999605 0.00256506 0.00254868]
[-0.04774246 -0.00250744 0.99885653 -0.02765612]
[ 0. 0. 0. 1. ]]
T_ic: (cam1 to imu0):
[[ 0.99885902 0.00114568 -0.04774246 0.05866926]
[-0.00126683 0.99999605 -0.00250744 -0.0026941 ]
[ 0.0477394 0.00256506 0.99885653 0.03048523]
[ 0. 0. 0. 1. ]]
timeshift cam1 to imu0: [s] (t_imu = t_cam + shift)
-0.01179951195993147
Baselines:
----------
Baseline (cam0 to cam1):
[[ 0.9994979 -0.00049607 0.03168138 -0.04940565]
[ 0.00063536 0.99999018 -0.00438668 0.00001679]
[-0.03167889 0.00440461 0.99948839 0.00142563]
[ 0. 0. 0. 1. ]]
baseline norm: 0.04942621243940179 [m]
Gravity vector in target coords: [m/s^2]
[-0.33626366 -9.79119923 -0.43332124]
Calibration configuration
=========================
cam0
-----
Camera model: pinhole
Focal length: [394.73897935327875, 397.07609983064]
Principal point: [328.08812327934135, 229.9742739261273]
Distortion model: equidistant
Distortion coefficients: [0.42241273556155506, 0.20864813180833605, 0.3979238261062836, 0.5898003650060837]
Type: aprilgrid
Tags:
Rows: 6
Cols: 6
Size: 0.021 [m]
Spacing 0.006468000000000001 [m]
cam1
-----
Camera model: pinhole
Focal length: [395.31081333647796, 396.67650876842976]
Principal point: [315.71216250025896, 232.01383312375893]
Distortion model: equidistant
Distortion coefficients: [0.5127606598499351, -0.5373699037573214, 3.847162303528836, -5.204634833610096]
Type: aprilgrid
Tags:
Rows: 6
Cols: 6
Size: 0.021 [m]
Spacing 0.006468000000000001 [m]
IMU configuration
=================
IMU0:
----------------------------
Model: calibrated
Update rate: 200.0
Accelerometer:
Noise density: 0.012272815309641657
Noise density (discrete): 0.17356381859395387
Random walk: 0.00022269630970713836
Gyroscope:
Noise density: 0.00237136475214423
Noise density (discrete): 0.03353616193815883
Random walk: 1.6634786328395575e-05
T_ib (imu0 to imu0)
[[1. 0. 0. 0.]
[0. 1. 0. 0.]
[0. 0. 1. 0.]
[0. 0. 0. 1.]]
time offset with respect to IMU0: 0.0 [s]
参考
https://blog.csdn.net/qq_38364548/article/details/124917067
https://blog.csdn.net/qq_44998513/article/details/132713079
