首页|面向对海监视的舰船目标跟踪与航迹融合数据集

面向对海监视的舰船目标跟踪与航迹融合数据集

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对海监视中航迹实时关联与轨迹融合任务是安全防控、区域态势监视、远程精确打击等军民应用领域的热点和难点问题,高质量的数据集对推动目标跟踪与融合技术在该领域的研究有重要作用。本研究针对目标跟踪与融合领域技术研究的数据需求以及目前公开数据集所存在的数据缺乏、场景设计针对性差、数据格式单一、数据描述不全等问题,通过仿真软件对复杂场景中多传感器多目标探测数据进行仿真,提供了一套面向典型对海监视场景(以舰船为探测对象的 2D雷达与侦察传感器[ESM])的目标跟踪与航迹融合数据集。其中仿真软件包括剧情发生器和传感器模拟器两部分,是一套成熟的目标跟踪场景仿真环境,提供逼真的探测数据模拟能力。本数据集涵盖的传感器对象包括 2D雷达与侦察传感器,目标包括典型的海上舰船类别,并支持携带辐射源配置,设计了高速运动、密集交通、多传感器数据融合、特定舰船侦测和交叉定位等多种典型场景。本数据集中共包含 368155 条目标点迹,舰船数量为 101条,时间范围 15000 秒,数据格式符合实际设备上报情景、探测误差模型符合实际。本数据集通过对数据误差进行正态性检验、对检测率、虚警率的场景检验以及实地调研,完成了对数据的准确性评估与数据完备性控制,可为舰船目标跟踪、轨迹融合等算法研究与验证提供基础数据。
A dataset of ship target tracking and trajectory fusion in maritime surveillance
Real-time trajectory association and trajectory fusion in maritime surveillance pose great challenges and remain hot issues in security,regional situation monitoring,and long-range precision strikes for both military and civilian applications.High-quality datasets play a pivotal role in advancing research in target tracking and fusion technologies within this domain.This paper addresses the data requirements for technological research in target tracking and fusion,as well as the limitations of currently available datasets,including data scarcity,inadequate scene design specificity,uniform data formats,and incomplete data descriptions.We used simulation software to emulate multi-sensor multi-target detection data in complex scenarios,so as to present a dataset tailored for typical maritime surveillance scenarios—targeting ships using 2D radar and Electronic Support Measures(ESM)sensors.The simulation software comprises a scenario generator and a sensor simulator,creating a mature target tracking scenario simulation environment with realistic detection data modeling capabilities.The dataset includes data from 2D radar and ESM sensors,covering typical maritime ship categories,supporting configurations with radiation sources.It is designed for a variety of scenarios such as high-speed motion,dense traffic,multi-sensor data fusion,specific ship detection,and cross-positioning.The dataset contains a total of 368,155 target tracks from 101 ships,spanning a duration of 15,000 seconds.The data format conforms to actual equipment reporting scenarios,while the detection error model accurately reflects real-world conditions.Accuracy assessment and data completeness are ensured through various methods including normality testing of data error,scenario testing of detection rate and false alarm rate,as well as field research.This dataset can provide fundamental data for algorithmic research and validation in the ship's target tracking,trajectory fusion and other related areas.

target trackingtrajectory fusiontarget point trackradarreconnaissancedataset

刘丽华、陈志豪、杨皓宇、肖开明、吴继冰、陈海文、黄宏斌

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国防科技大学,大数据与决策实验室,长沙 410073

目标跟踪 轨迹融合 目标点迹 雷达 侦察 数据集

2024

中国科学数据(中英文网络版)

中国科学数据(中英文网络版)

CSTPCD
ISSN:2096-2223
年,卷(期):2024.9(1)
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