Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.
This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.
Robotics tools in C++11. Implements soft real time arm drivers for Kuka LBR iiwa plus V-REP, ROS, Constrained Optimization based planning, Hand Eye Calibration and Inverse Kinematics integration.
Read CO2 concentration from mh-z19 sensor on the Raspberry Pi & handle it. Detect Raspberry Pi model automatically and read the value from an appropriate serial device.
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
Hello,
I'm trying to use pyxcp to connect to CAN-FD XCP slave. I'm using a raspberry pi as master, using socketCAN. I pass the parameter FD = True in the configuration file but it does not make a difference. The board's CAN interface is up and running and configured for CAN-FD at 500kb bit-rate and 2000000 data bit-rate. I can see the CAN XCP frames (connect) coming out as a regular CAN frame, wi
Hello,
I'm trying to use pyxcp to connect to CAN-FD XCP slave. I'm using a raspberry pi as master, using socketCAN. I pass the parameter FD = True in the configuration file but it does not make a difference. The board's CAN interface is up and running and configured for CAN-FD at 500kb bit-rate and 2000000 data bit-rate. I can see the CAN XCP frames (connect) coming out as a regular CAN frame, wi