异构无人集群对抗演练验证数据集

本数据集针对异构无人集群反恐任务场景，探索无人机\无人车\人异质群智激发与实时推理技术，开展异构无人集群对抗任务环境与群智行为进行建模研究，通过应用系统的群智活动全要素平台，获得异构无人集群对抗演练数据集数据。通过程序产生的大量、多种异构智能体的位姿信息。包括以秒为单位的北东地坐标信息，无人机还会存储飞机位姿信息的进行存储。通过上传到数据在线可视化平台，完成数据的存储。

This dataset focuses on counter-terrorism mission scenarios for heterogeneous unmanned swarms, exploring technologies of heterogeneous swarm intelligence stimulation and real-time reasoning involving unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs) and human agents. It carries out modeling research on the adversarial task environment and swarm intelligence behaviors of heterogeneous unmanned swarms. By applying a systematic full-element platform for swarm intelligence activities, the dataset of heterogeneous unmanned swarm counter-drill confrontations is collected. The program generates a large quantity of pose information for diverse heterogeneous AI agents, including north-east-down (NED) coordinate information updated per second. For UAVs, additional aircraft pose information is also stored. All acquired data is ultimately stored upon being uploaded to an online data visualization platform.

搜集汇总

背景与挑战

背景概述

该数据集是针对异构无人集群反恐任务场景的对抗演练验证数据，通过建模研究无人机、无人车和人的异质群智行为，生成大规模智能体的位姿信息，包括北东地坐标和无人机位姿，数据量为1.65GB。数据集由北京航空航天大学创建，属于国家重点研发计划项目，旨在支持群智激发与实时推理技术的研究和应用。