相关数据集
S1 Dataset -
The obstacle avoidance problem of unmanned aerial vehicle (UAV) mainly refers to the design of a method that can safely reach the target point from the starting point in an unknown flight environment.
NIAID Data Ecosystem90
Performance of navigator module.
Autonomous vehicles, such as Unmanned Aerial Vehicles (UAVs), have the potential to completely reshape various industries such as parcel delivery, agriculture, surveillance, monitoring, and search-and
NIAID Data Ecosystem30
drone_single_gate_base
该数据集是一个用于机器人学任务的数据集，专门针对无人机单门基础任务。它包含1000个训练集，总帧数为38663，帧率为25fps。数据集结构包括观察图像（3通道，分辨率480x640）、观察状态（9维，包括速度、姿态角等）、动作（4维，控制速度和角速度）以及其他元数据如时间戳、帧索引和集索引。数据以Parquet格式存储，视频以MP4格式存储，适用于机器人控制和强化学习研究。
Hugging Face2026-06-02 更新30
LiDAR-IMU Mapping Test with Various Range Sensors
This is a set of LiDAR-IMU mapping test sequences recorded with various range sensors. - Ouster OS0-32 & OS0-64 - Livox Avia - Intel Realsense L515 & D455 - Microsoft Azure Kinect - Stereola
NIAID Data Ecosystem60
Table_2_High-Level Teleoperation System for Aerial Exploration of Indoor Environments.XLSX
Exploration of challenging indoor environments is a demanding task. While automation with aerial robots seems a promising solution, fully autonomous systems still struggle with high-level cognitive ta
NIAID Data Ecosystem30
