
This dataset contains synchronized multi-modal sensor recordings from a Fendt Vario 724 tractor during real baling operations. The released subset (123 s, 35.9 GB) captures traversal along a single windrow under stable lighting and surface conditions. Full windrow dataset available on request due to size limitations.It is part of a larger multimodal agricultural dataset effort for reproducible field-robotics research. Sensors include: Ouster OS0-128 LiDAR (18.3 Hz, 131 k pts/frame) ZED 2i stereo camera (23.5 Hz, ~230 k pts raw / 66 k filtered) NovAtel OEM7 GNSS + IMU for trajectory reference Five auxiliary mono cameras (ArkCam) All data were recorded with ROS 2 Humble and stored in MCAP format.Topics include /ouster/points, /zed/zed_node/point_cloud/cloud_registered, /zed/zed_node/odom, /novatel/oem7/fix, and synchronized camera streams. The dataset supports research on real-time windrow detection, sensor fusion, and GPS-free navigation in agricultural environments.Code and reference implementation are available at: github.com/Gunreben/Windrow-Centerline-ROS2-Node
sensor fusion, LiDAR, windrow detection, Stereo Vision, real-time perception, autonomous harvesting, Agricultural Robotics, multi-modal dataset, edge computing, forage harvesting, field robotics, ROS2, Jetson AGX Orin, GPS-free navigation, open dataset
sensor fusion, LiDAR, windrow detection, Stereo Vision, real-time perception, autonomous harvesting, Agricultural Robotics, multi-modal dataset, edge computing, forage harvesting, field robotics, ROS2, Jetson AGX Orin, GPS-free navigation, open dataset
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