尤托MMS:一个全面的SLAM数据集用于城市移动地图与倾斜的LiDAR和全景摄像头集成的城市移动地图
Yiujia Zhang1,2, SeyedMostafa Ahmadi1, Jungwon Kang1
1Department of Earth and Space Science and Engineering, Lassonde School of Engineering, York University, Toronto, ON, Canada.
概括
约克大学Teledyne Optech移动映射系统 (MMS) 数据集为同时定位和映射 (SLAM) 系统提供了一个基准. 这一新数据集有助于推进SLAM集成的移动绘图技术.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 计算机视觉 计算机视觉
- 地理学工程 工程地质学
背景情况:
- 移动地图系统 (MMS) 对于各种应用中的数据采集至关重要.
- 同时定位和映射 (SLAM) 算法对于自主导航和映射至关重要.
- 现有的数据集可能无法完全捕捉MMS和SLAM的现实城市环境的复杂性.
研究的目的:
- 介绍和详细介绍约克大学Teledyne Optech (YUTO) 移动映射系统 (MMS) 数据集.
- 为评估当代同时定位和映射 (SLAM) 系统建立一个基准.
- 为未来的SLAM集成移动映射研究提供基础资源.
主要方法:
- 使用配备LiDAR,全景摄像头,GPS和IMU的专用车辆收集数据.
- 在城市环境 (约克大学基尔校区和Teledyne Optech总部) 的四个序列中获取20.1公里的数据.
- 详细描述数据集收集程序,传感器配置,同步,数据结构和格式.
主要成果:
- 尤托MMS数据集包括适合SLAM研究的全面传感器数据.
- 通过使用 YUTO MMS 数据集对当前的 SLAM 系统进行性能评估.
- 在这个特定的数据集上为SLAM系统建立了基线性能.
结论:
- 尤托MMS数据集是研究界的宝贵资源.
- 基准结果提供了对当前SLAM系统的能力和局限性的见解.
- 这项工作促进了SLAM集成移动绘图系统的开发和应用方面的进展.
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