长期4D农业机器人数据集

长期4D农业机器人数据集是由林肯自主系统中心创建，旨在通过长期部署自主移动机器人于葡萄园中，收集不同时间点的环境数据，以分析环境变化对地图构建和定位任务的影响。该数据集包含从2022年3月至10月收集的四个数据会话，每个会话记录了机器人在特定路径上的传感器数据，总长度约500米。数据集的创建过程涉及使用多种传感器，包括RTK-GPS、RGBD相机和3D LIDAR等，以捕捉环境的详细变化。该数据集主要应用于农业领域的机器人自主导航和定位算法评估，特别是在季节变化显著的环境中，以提高机器人在复杂环境中的稳定性和可靠性。

The Long-term 4D Agricultural Robot Dataset was developed by the Lincoln Center for Autonomous Systems. It is constructed to collect environmental data at different time points via long-term deployment of autonomous mobile robots in vineyards, so as to analyze the impact of environmental changes on mapping and localization tasks. This dataset contains four data sessions collected from March to October 2022, with each session recording the robot's sensor data along a predefined specific path, and the total traversal distance reaches approximately 500 meters. The dataset creation process utilizes multiple sensors including RTK-GPS, RGBD cameras, and 3D LIDAR to capture detailed environmental variations. Primarily, this dataset is applied to evaluate robot autonomous navigation and localization algorithms in the agricultural domain, particularly in environments with pronounced seasonal changes, to enhance the stability and reliability of robots operating in complex scenarios.