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README.md
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## Abstract
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Swarm UAV autonomous flight for Long-Horizon (LH) tasks is crucial for advancing the low-altitude economy.
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However, existing methods focus only on specific basic tasks due to dataset limitations, failing in real-world deployment for LH tasks.
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LH tasks are not mere concatenations of basic tasks, requiring handling long-term dependencies, maintaining persistent states, and adapting to dynamic goal shifts.
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U2UData-2 also introduces an LH task for **wildlife conservation** and provides comprehensive benchmarks with 9 SOTA models.
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U2UData-2 can be found at https://fengtt42.github.io/U2UData-2/.
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## Dataset Size
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Since the entire dataset is **3.6T** in total, we only upload the dataset for one scenario, which is **252G** in total.
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---
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## Helper
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If you need the full dataset, you can send an email to obtain the Baidu Cloud link for downloading.
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PPM is a binary image format. If you need PNG format, we provide conversion code, which you can download and convert by yourself.
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I have full parameter information for each trajectory. If you need other parameter information, such as IMU, detailed drone parameters, etc., you can contact me by email at any time.
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## Cite
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@inproceedings{feng2025u2udata2scalableswarmuavs,
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title={U2UData-2: A Scalable Swarm UAVs Autonomous Flight Dataset for Long-horizon Tasks},
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author={Tongtong Feng and Xin Wang and Feilin Han and Leping Zhang and Wenwu Zhu},
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url={https://arxiv.org/abs/2509.00055}
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## Web Link
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https://fengtt42.github.io/U2UData-2/
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## Abstract
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---
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Swarm UAV autonomous flight for Long-Horizon (LH) tasks is crucial for advancing the low-altitude economy.
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However, existing methods focus only on specific basic tasks due to dataset limitations, failing in real-world deployment for LH tasks.
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LH tasks are not mere concatenations of basic tasks, requiring handling long-term dependencies, maintaining persistent states, and adapting to dynamic goal shifts.
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U2UData-2 also introduces an LH task for **wildlife conservation** and provides comprehensive benchmarks with 9 SOTA models.
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U2UData-2 can be found at https://fengtt42.github.io/U2UData-2/.
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## Dataset Size
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---
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Since the entire dataset is **3.6T** in total, we only upload the dataset for one scenario, which is **252G** in total.
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## Helper
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---
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If you need the full dataset, you can send an email to obtain the Baidu Cloud link for downloading.
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PPM is a binary image format. If you need PNG format, we provide conversion code, which you can download and convert by yourself.
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I have full parameter information for each trajectory. If you need other parameter information, such as IMU, detailed drone parameters, etc., you can contact me by email at any time.
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## Cite
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@inproceedings{feng2025u2udata2scalableswarmuavs,
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title={U2UData-2: A Scalable Swarm UAVs Autonomous Flight Dataset for Long-horizon Tasks},
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author={Tongtong Feng and Xin Wang and Feilin Han and Leping Zhang and Wenwu Zhu},
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url={https://arxiv.org/abs/2509.00055}
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}
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## Web Link
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https://fengtt42.github.io/U2UData-2/
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