SeePerSea: Multi-modal Perception Dataset of In-water Objects for Autonomous Surface Vehicles
SeePerSea:用于自主水面车辆的水下物体多模态感知数据集
机构 * Department of Computer Science, Dartmouth College(达特茅斯学院计算机科学系) ; IQT Labs(IQT实验室) ; Department of Computer Science, Columbia University(哥伦比亚大学计算机科学系) ; Department of Computer Science, University of Maryland College Park(马里兰大学计算机科学系) ; The Institute for Human and Machine Cognition and The University of West Florida(人机认知研究所与西佛罗里达大学) ; School of Computing, Binghamton University(宾夕法尼亚州立大学计算学院)
专题命中 机器人数据与评测 :robotics(abstract,comments);navigation(abstract);分类 cs.RO、cs.CV
AI总结 SeePerSea数据集为自主水面车辆提供多模态水下物体感知数据,通过训练测试现有深度学习算法,推动海洋自主技术发展。
Comments Topic: Special Issue on ICRA 2024 Workshop on Field Robotics
Journal ref IEEE Transactions on Field Robotics 2 (2025) - 737-752