|本期目录/Table of Contents|

[1]石晓华,王国庆,程 汉,等.基于自发光标志物识别的室内机器人定位研究[J].工业仪表与自动化装置,2022,(03):60-63.[doi:10.19950/j.cnki.cn61-1121/th.2022.03.013]
 SHI Xiaohua,WANG Guoqing,CHENG Han,et al.Study on positioning method of indoor robot based on feature recognition of self-luminous markers[J].Industrial Instrumentation & Automation,2022,(03):60-63.[doi:10.19950/j.cnki.cn61-1121/th.2022.03.013]
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基于自发光标志物识别的室内机器人定位研究

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2022年03期
页码:
60-63
栏目:
出版日期:
2022-06-15

文章信息/Info

Title:
Study on positioning method of indoor robot based on feature recognition of self-luminous markers
文章编号:
1000-0682(2022)03-0000-00
作者:
石晓华王国庆程 汉刘平利王 辉王 强
长安大学 工程机械学院,陕西 西安 710064
Author(s):
SHI XiaohuaWANG GuoqingCHENG HanLIU PingliWANG HuiWANG Qiang
School of Construction Machinery,Chang’an University,Shaanxi Xi”an 710064,China
关键词:
自发光标志物视觉定位特征识别室内机器人
Keywords:
self-luminous marker visual positioning feature recognition indoor robot
分类号:
TP242
DOI:
10.19950/j.cnki.cn61-1121/th.2022.03.013
文献标志码:
A
摘要:
针对室内光线条件不良或者特征物不明显造成机器人的视觉定位与导航困难的问题,提出了一种基于自发光标志物的特征识别定位方法,实现了机器人室内位置的追踪。首先通过放置在屋顶的相机来获取机器人的整个工作环境,对机器人的工作环境进行整体定位,再使用SURF算法进行特征提取与匹配,根据图像处理结果确定机器人的具体位置,进行机器人位置的实时跟踪。实验结果表明,该方法在精确度要求不高的情况下能够获取到机器人的位姿信息,证明了整个理论方案的可行性。
Abstract:
Aiming at the difficulty of visual positioning and navigation of robot caused by poor indoor light conditions or unobvious features, this paper proposes a positioning method based on feature recognition of self-luminous markers, which realizes the indoor position tracking of the robot. Firstly, the whole working environment of the robot is obtained by the camera placed on the roof, and the overall positioning of the working environment is carried out. Then, SURF algorithm is used for feature extraction and matching. The specific position of the robot is determined according to the processing results of the image, and the real-time tracking of the robot position is carried out. The experimental results show that the method can obtain the pose information of the robot under the condition of low accuracy requirement, which proves the feasibility of the whole theoretical scheme.

参考文献/References:

[1] 王一波, 柳建. 非结构环境下移动机器人定位研究综述[J]. 机床与液压, 2021, 49(08): 176-181.

[2] ATIYAH A N , ADZHAR N , JAINI N I . An overview: on path planning optimization criteria and mobile robot navigation[J]. Journal of Physics: Conference Series, 2021, 1988(1):012036.
[3] 肖飞. 基于地面特征的机器人视觉室内定位系统[D].广东工业大学,2019.
[4] WU Teng, LIU Jingbin, LI Zheng, et al. Accurate Smartphone Indoor Visual Positioning Based on a High-Precision 3D Photorealistic Map[J]. Sensors (Basel, Switzerland), 2018, 18(6).
[5] SONG Peipei, LI Wenyu, YANG Ningjia, et al. An Intelligent Vision Localization System of a Service Robot Nao[C].//Control Conference. Technical Committee on Control Theory, Chinese Association of Automation, 2015.
[6] 温倩雯,苏毅辉,李庚.基于单目相机与里程计的室内机器人定位研究[J]. 电视技术,2021,45(03):100-105+125.
[7] 全永彬,朱静.基于惯性传感器和视觉传感器的室内定位研究[J].东莞理工学院学报,2019,26(01):91-95+110.
[8] YAO Lina, LI Fengzhe. Mobile Robot Localization Based on Vision and Multisensor[J]. Journal of Robotics, 2020(5)1-11.

相似文献/References:

[1]李海霞,张 衡.一种自动化涂胶移动平台系统的设计[J].工业仪表与自动化装置,2023,(04):8.[doi:10.19950/j.cnki.cn61-1121/th.2023.04.002]
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备注/Memo

备注/Memo:
收稿日期:2021-12-28

基金项目:
陕西省重点研发计划(2021GY-039)

作者简介:
石晓华(1998),男,汉,硕士研究生,主要研究方向为设备智能化。

通信作者:
王国庆(1972),男,汉,博士,教授,主要研究方向为通用可编程自动化控制器(PAC)系统研究、工程装备远程监控技术研究、低成本工程机器人研究。
更新日期/Last Update: 1900-01-01