Trained Model and Data for Trajectory Predictions of Autonomous Surface Vessels in Urban Canals

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".本数据集涵盖两部分内容：其一为由多艘船舶在阿姆斯特丹等比例运河地图中航行的轨迹构成的人工数据，其二为基于该数据集训练完成的预测模型。本数据集关联于发表在IEEE 2023年多机器人与多智能体系统国际研讨会（MRS）会议论文集中、题为《交互感知型采样式模型预测控制及学习型局部目标预测》的研究论文。