asylumirfan/Synthetic-UAV-Flight-Trajectories

--- license: apache-2.0 language: - en tags: - UAV - Drones - Trajectory pretty_name: U size_categories: - 100K<n<1M --- # UAV Trajectory Dataset ## Summary This dataset comprises over 5000 random UAV (Unmanned Aerial Vehicle) trajectories collected over 20 hours of flight time. It is intended for training AI models such as trajectory prediction applications. The dataset is generated through an automated pipeline for the creation and preprocessing of UAV synthetic trajectories, making it ready for direct AI model training. ## Data Description The dataset features parameterized trajectories following predefined patterns, specifically circular and infinity-like paths. ## Dataset Structure ### Data Fields - `timestamp`: Recording time of the data point. - `position`: 3D position of the UAV (x, y, z coordinates). ## Citation If you use our work in your research, please cite: Nacar, O.; Abdelkader, M.; Ghouti, L.; Gabr, K.; Al-Batati, A.; Koubaa, A. **VECTOR: Velocity-Enhanced GRU Neural Network for Real-Time 3D UAV Trajectory Prediction**. *Drones* 2025, **9**, 8. [https://doi.org/10.3390/drones9010008](https://doi.org/10.3390/drones9010008)许可证：Apache-2.0 语言：英语 标签：无人机（UAV）、无人机（Drones）、轨迹（Trajectory） 数据集展示名称：U 样本量范围：100K < 样本量 < 1M # 无人机轨迹数据集 ## 摘要 本数据集包含超过5000条随机无人机（Unmanned Aerial Vehicle, UAV）轨迹，采集自累计20小时的飞行时长，旨在用于训练轨迹预测类人工智能模型。该数据集通过自动化流水线完成无人机合成轨迹的构建与预处理，可直接用于人工智能模型的训练。 ## 数据描述 本数据集包含遵循预设模式的参数化轨迹，具体涵盖圆形路径与无限符号类路径。 ## 数据集结构 ### 数据字段 - `timestamp`：数据点的记录时间 - `position`：无人机的三维位置（x、y、z坐标） ## 引用 若您在研究中使用本工作，请引用如下文献： Nacar, O.; Abdelkader, M.; Ghouti, L.; Gabr, K.; Al-Batati, A.; Koubaa, A. **VECTOR：面向实时三维无人机轨迹预测的速度增强型门控循环单元神经网络**。*Drones* 2025, **9**, 8. [https://doi.org/10.3390/drones9010008](https://doi.org/10.3390/drones9010008)