TerraSentia Navigation Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/tianchenji/PAAD
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资源简介：
该数据集是由TerraSentia机器人在玉米田中收集的现实世界导航数据，用于评估PAAD异常检测算法的性能。该数据集包含了标记的异常行为，适用于训练和测试异常检测模型。数据在不同环境条件下被收集，规模上，训练集包含29292个数据点，测试集包含6869个数据点。该数据集的任务是针对机器人导航中的异常检测。
This dataset consists of real-world navigation data collected by TerraSentia robots in cornfields, which is utilized to evaluate the performance of PAAD anomaly detection algorithms. It contains labeled anomalous behaviors, making it suitable for training and testing anomaly detection models. The data was gathered under diverse environmental conditions. In terms of scale, the training set includes 29,292 data points while the test set includes 6,869 data points. The task of this dataset focuses on anomaly detection in robot navigation.
提供机构：
Tian Chen Ji et al.
