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)
Master thesis project realized in partnership with Aalto University and Finnish Geospatial Research Institute of Finland. Stereo Camera-LiDAR calibration. Covers: mono and stereo camera calibration, Camera-LIDAR synchronisation, camera-based and LiDAR-based 3D reconstruction, Camera-LiDAR extrinsic calibration, Occlusion handling.
EFGHNet: A Versatile Image-to-Point Cloud Registration Network for Extreme Outdoor Environment
We utilize sensors, such as camera and lidar, in order to acquire information of our environment. Fusion of data from sensors allows you to identify objects in a scene. Cam2lidar converts data from these 2 sensors into the same coordinate system.
This project aims to enhance the robot's ability to associate its surroundings with objects, thereby imbuing them with meaning, and subsequently applying SLAM (Simultaneous Localization and Mapping) techniques.
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