Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
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Updated
Mar 27, 2021 - Python
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
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.
Virtual camera is created only using opencv and numpy. It simulates a camera where we can control all its parameters, intrinsic and extrinsic to get a better understanding how each component in the camera projection matrix affects the final image of the object captured by the camera.
This repository include implementation of calibrating intrinsic and extrinsic camera parameter for distance calculation
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In this repository, camera calibration is implemented using MATLAB Camera Calibrator APP. It is apart of Assignment2 in Sensing, Perception and Actuation course for ROCV master's program at Innopolis University.
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