AMP2026提供多平台海洋机器人同步数据，助力水下追踪与环境建图研究。
AMP2026: A Multi-Platform Marine Robotics Dataset for Tracking and Mapping
- 整合无人机、船载相机与水下机器人同步数据
- 覆盖空中、水面、水下多视角感知场景
- 适合海洋感知、多机器人协同等方向研究
海洋环境因动态表面、能见度受限及空、面、潜传感模态间复杂交互，对感知与自主性构成重大挑战。本文提出面向海洋感知与多机器人观测的航拍海洋感知数据集（AMP2026），通过多次实地部署采集，包含无人机、船载摄像头与水下机器人平台的同步数据，以及对应的定位与遥测信息。该数据集旨在支持多视角追踪与海洋环境建图两大研究方向，提供完整的数据采集方法、传感器配置、数据组织方式及预期研究任务。数据集公开可用，推动海洋机器人领域感知算法发展。
原文摘要 · Abstract (English)
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.
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