cff-version: 1.2.0
abstract: "<p>This dataset contains artificial data consisting of trajectories of multiple vessels navigating in to-scale canal maps of Amsterdam and a trained prediction model on this data. This dataset is related to the IEEE 2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS) proceedings titled "Interaction-Aware Sampling-Based MPC with Learned Local Goal Prediction".</p>"
authors:
  - family-names: Jansma
    given-names: Walter
  - family-names: Trevisan
    given-names: Elia
    orcid: "https://orcid.org/0000-0002-2858-5894"
  - family-names: Serra-Gómez
    given-names: Álvaro
  - family-names: Alonso-Mora
    given-names: Javier
    orcid: "https://orcid.org/0000-0003-0058-570X"
title: "Trained Model and Data for Trajectory Predictions of Autonomous Surface Vessels in Urban Canals"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/776e311c-9ccf-4fab-886d-c1886ff15fcf.v1
license: CC0
date-released: 2024-11-21