lidar_camera_calibration
lidar_camera_calibration copied to clipboard
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
/dependencies/aruco_mapping/src/aruco_mapping.cpp:38:50: fatal error: lidar_camera_calibration/marker_6dof.h: No such file or directory
I have a Velodyne and Realsense RGB-D camera and was wondering about which set of intrinsic parameters I should use. Do I need to perform this calibration for the RGB...
During the process, I detected markers and points cloud successfully.However,the program was always detecting markers and delivering the marker's information. How could I solve it?
Thank you @ankitdhall for this awesome tool. Its going to be damn useful for my project as a start point. I am facing some difficulty marking the points on "cloud"...
What is the correct value for the stereo parameter in the **lidar_camera_calibration.yaml** file: - camera_frame_topic: /frontNear/left/image_raw - camera_info_topic: /frontNear/left/camera_info Should the _camera_frame_topic_ be set to use the raw image (/zed/left/image_raw)...
I'm not getting consistent edge points on my two sheets of cardboard. During the iteration the program will stop because eventually one drawn polygon will have no points in it....
![mono8_screenshot_21 02 2019](https://user-images.githubusercontent.com/5880684/53160918-2f504880-35c9-11e9-8057-3e6c0a043c10.png) I use a recorded bag file and experienced an instable behavior of the calibration method. Using the identical bag file and identical parameters the method delivers varying...
I am wondern if it is possible to print and cut the ArUco markers directly on the black border so that b1 and b2 are zero. Or is a white...
should I launch the aruco_ros package alone?