arXiv Open Access 2026

AMP2026: A Multi-Platform Marine Robotics Dataset for Tracking and Mapping

Edwin Meriaux Shuo Wen David Widhalm Zhizun Wang Junming Shi +9 lainnya
Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

Penulis (14)

E

Edwin Meriaux

S

Shuo Wen

D

David Widhalm

Z

Zhizun Wang

J

Junming Shi

M

Mariana Sosa Guzmán

K

Kalvik Jakkala

B

Bennett Carley

E

Elias Sokolova

Y

Yogesh Girdhar

M

Monika Roznere

J

Jason O'Kane

J

Junaed Sattar

G

Gregory Dudek

Format Sitasi

Meriaux, E., Wen, S., Widhalm, D., Wang, Z., Shi, J., Guzmán, M.S. et al. (2026). AMP2026: A Multi-Platform Marine Robotics Dataset for Tracking and Mapping. https://arxiv.org/abs/2603.04225

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2026
Bahasa
en
Sumber Database
arXiv
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Open Access ✓