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基于鲁棒高程边界的地面机器人环境建模方法
Alternative TitleRobust elevation bound based environment mapping of ground robot
杜文强1,2,3; 谷丰1,2; 孟祥冬1,2,3; 周浩1,2; 狄春雷1,2; 杨丽英1,2; 何玉庆1,2,4
Department机器人学研究室
Source Publication高技术通讯
ISSN1002-0470
2019
Volume29Issue:10Pages:985-994
Contribution Rank1
Funding Organization国家自然科学基金( 91748130) ; 国家重点研发计划( 2018YFC0810100) ; 青促会和中科院联合基金( 6141A01061601) ; 广东省科技计划( 2017B010116002)
Keyword环境建模 有界噪声 扩展集员滤波 边界分析
Abstract

如何构建准确可靠的环境模型一直是移动机器人的研究热点。2.5维地图是环境建模常用的环境描述方法。但是在野外环境中,由于机器人运动过程中存在的振动以及传感器的误差,造成高程地图出现偏差,偏差的范围将直接影响机器人路径规划的成败。传统的概率估计方法易于实现高程值的估计,但无法获得高程的可靠范围。为了解决这一问题,本文提出了一种基于鲁棒高程边界的地面机器人环境建模方法。首先构建传感器测量模型并获取测量误差的边界描述,在此基础之上,利用集员估计方法实现高程误差范围边界的估计,并给出了可通过性分析,最后利用实验验证了所提方法的可行性与有效性。与传统的环境感知方法相比,本方法可以获取可靠的高程范围,提升环境模型的鲁棒性和可靠性。

Other Abstract

Accurate and reliable environment model is a key issue for mobile robots. However,in the field environment, due to the vibrations and sensor errors, the elevation of the 2. 5D map is always deviated. Focused on this problem, a robust elevation bound based environment modeling method is proposed in this work. In the first,the laser measurement model is researched and built. Based on the model, the bound description of measurement error is analyzed for describing the area of the measurement error. In the second, the estimation of elevation bound is realized by the extended set-member filter,which shows the elevation bound of the 2.5D map built by the mobile robots. Then the traversability of mobile robots is analyzed based on the elevation bound. In the last,the feasibility and effectiveness of the proposed method are verified by experiments. Compared with the common EKF based environment modeling methods,the robustness and reliability of the environmental map can be improved due to the reliability elevation bound.

Language中文
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/25881
Collection机器人学研究室
Corresponding Author谷丰
Affiliation1.中国科学院沈阳自动化研究所机器人学国家重点实验室
2.中国科学院机器人与智能制造创新研究院
3.中国科学院大学
4.广州中国科学院沈阳自动化研究所分所
Recommended Citation
GB/T 7714
杜文强,谷丰,孟祥冬,等. 基于鲁棒高程边界的地面机器人环境建模方法[J]. 高技术通讯,2019,29(10):985-994.
APA 杜文强.,谷丰.,孟祥冬.,周浩.,狄春雷.,...&何玉庆.(2019).基于鲁棒高程边界的地面机器人环境建模方法.高技术通讯,29(10),985-994.
MLA 杜文强,et al."基于鲁棒高程边界的地面机器人环境建模方法".高技术通讯 29.10(2019):985-994.
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