Marine environments present significant challenges for perception and autonomy due to dynamic surfaces, limited visibility, and complex interactions between aerial, surface, and submerged sensing modalities. This paper introduces the Aerial Marine Perception Dataset (AMP2026), a multi-platform marine robotics dataset collected across multiple field deployments designed to support research in two primary areas: multi-view tracking and marine environment mapping. The dataset includes synchronized data from aerial drones, boat-mounted cameras, and submerged robotic platforms, along with associated localization and telemetry information. The goal of this work is to provide a publicly available dataset enabling research in marine perception and multi-robot observation scenarios. This paper describes the data collection methodology, sensor configurations, dataset organization, and intended research tasks supported by the dataset.

翻译：海洋环境因其动态表面、有限能见度以及空中、水面和水下传感模态之间复杂的相互作用，对感知与自主性提出了重大挑战。本文介绍了空中海洋感知数据集（AMP2026），这是一个在多平台海洋机器人上采集的数据集，数据来源于多次实地部署，旨在支持两个主要领域的研究：多视角跟踪与海洋环境建图。该数据集包含了来自无人机、船载相机和水下机器人平台的同步数据，以及相关的定位与遥测信息。本工作的目标是提供一个公开可用的数据集，以促进海洋感知和多机器人观测场景的研究。本文描述了数据采集方法、传感器配置、数据集组织以及该数据集所支持的研究任务。