ROS2 bagfiles associated to the European project Robs4Crops

<p>This project contains multiple datasets in the form of ROS2 bagfiles, recorded during various agricultural robotics experiments in diverse environments: vineyards and apple orchards. Each dataset includes sensor data collected from agricultural vehicles (two retrofitted tractors and a differential robot called Carob) equipped with state-of-the-art perception, localization, and navigation systems. &nbsp;</p> <p>The datasets include: &nbsp;<br>- Camera data: RGB images, depth information, and camera calibration details.<br>- LiDAR data: 3D point clouds from the environment.<br>- IMU data: acceleration and angular rates. &nbsp;<br>- GNSS data: Global positioning for outdoor localization in format WGS84.<br>- Transformations: Static and dynamic transformations between sensor frames and vehicle base frames.</p> <p>Each experiment contains a readme.docx file that documents the sensor configurations, frame conventions, and trajectories followed during the experiment and other relevant information to understand how to use the data in the proper dataset.</p>