系统仿真学报 ›› 2017, Vol. 29 ›› Issue (11): 2709-2717.doi: 10.16182/j.issn1004731x.joss.201711016
蒋秉川, 万刚, 李锋, 张伟, 杨振发
收稿日期:
2016-05-02
发布日期:
2020-06-05
作者简介:
蒋秉川(1984-),男,河南南阳,博士,讲师,研究方向为时空大数据与机器智能。
基金资助:
Jiang Bingchuan, Wan Gang, Li Feng, Zhang wei, Yang Zhenfa
Received:
2016-05-02
Published:
2020-06-05
摘要: 针对机器人定位和导航的具体应用需求,提出一种供“机器人”使用的超高分辨率立体网格导航地图的空间建模方法。创新性地将地理空间立体网格模型与机器人导航地图相结合,分析其空间跨度、网格单元和数据组织的一致性。详细分析了机器人导航地图的特点、数据来源和分类,及其与SLAM成图的区别和联系。以超高分辨率立体网格单元作为数据组织单元,将机器人导航地图空间数据集进行离散化,提出了机器人周围空间环境数据的集成管理方法,并进行了优化。利用超高分辨率地理空间立体网格模型对机器人周围环境空间网格进行统一编码和索引,实现了机器人周围环境的空间建模,为移动机器人定位和导航提供了统一的环境地图模型。并利用点云数据进行了试验,进一步论证了机器人超高分辨率立体网格导航地图建模的可行性。
中图分类号:
蒋秉川, 万刚, 李锋, 张伟, 杨振发. 机器人超高分辨率立体网格导航地图建模研究[J]. 系统仿真学报, 2017, 29(11): 2709-2717.
Jiang Bingchuan, Wan Gang, Li Feng, Zhang wei, Yang Zhenfa. Robotic Navigation Map Construction with Ultra-High Resolution Volumetric Grid[J]. Journal of System Simulation, 2017, 29(11): 2709-2717.
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