Edwin Meriaux

Alumni

Site web

Publications

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

Edwin Meriaux

Shuo Wen

David Widhalm

Zhizun Wang

Junming Shi

Mariana Sosa Guzmán

Kalvik Jakkala

Bennett Carley

Elias Sokolova

Yogesh Girdhar

Monika Roznere

Jason O’Kane

Junaed Sattar

Gregory Dudek

Marine environments present significant challenges for perception and autonomy due to dynamic surfaces, limited visibility, and complex inte… (voir plus)ractions 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.

2026-03-03

arXiv (prépublication)

doi.org

arxiv.org

On Mobile Ad Hoc Networks for Coverage of Partially Observable Worlds

Edwin Meriaux

Shuo Wen

Louis-Roy Langevin

Doina Precup

Antonio Lor'ia

Gregory Dudek

2025-11-30