[1]王依乔,张伟.基于非结构化月面复杂环境下SLAM技术研究进展[J].郑州大学学报(工学版),2018,39(03):45-50.[doi:10.13705/j.issn.1671-6833.2018.03.001]
 Wang Yiqiao,Zhang Wei.A Survey of Simultaneous Localization and Mapping on Unstructured Lunar Complex Environment[J].Journal of Zhengzhou University (Engineering Science),2018,39(03):45-50.[doi:10.13705/j.issn.1671-6833.2018.03.001]
点击复制

基于非结构化月面复杂环境下SLAM技术研究进展()
分享到:

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
39
期数:
2018年03期
页码:
45-50
栏目:
出版日期:
2018-05-10

文章信息/Info

Title:
A Survey of Simultaneous Localization and Mapping on Unstructured Lunar Complex Environment
作者:
王依乔张伟
中国科学院大学空间应用工程与技术中心,北京,100094
Author(s):
Wang Yiqiao Zhang Wei
Space Application Engineering and Technology Center, University of Chinese Academy of Sciences, Beijing, 100094; University of Chinese Academy of Sciences, Beijing, 100094
关键词:
Keywords:
DOI:
10.13705/j.issn.1671-6833.2018.03.001
文献标志码:
A
摘要:
综述了非结构化月面复杂环境下同时定位与地图构建(SLAM)领域的最新研究进展,重点介绍和总结了视觉SLAM的特征提取方式,以及基于EKF,PF滤波器的SLAM方法和基于图优化的3种主流SLAM方法,并对SLAM技术面临的挑战做了深入的研究,最后对未来发展方向进行了展望。研究表明:在非结构化复杂环境下多传感器融合SLAM、多机器人协作SLAM、主动SLAM及结合人工智能技术等前沿性课题已取得一定的研究成果,但在完善方法模型、相关问题分支研究及语义地图创建等方面仍待突破,应作为下一步的重点研究方向。
Abstract:
Latest research progresses of SLAM (simultaneous localization and mapping) using in the unstructured complex environment of lunar surface were summarized. In addition, we focued on summarizing and comparing the detection and matching of features of SIFT, SURF and ORB, and analyzed the three main methods: SLAM Based on Extended Kalman Filter, SLAM Based on Particle Filter and SLAM Based on Graph Optimization (EKF-SLAM, PF-SLAM and Graph-based SLAM). Furthermore, the challenge of SLAM technology was studied deeply. Finally, the future research directions of advanced SLAM were discussed. The research showed that certain research achievements were made in the study of s multi-sensor fusion SLAM, multi-robot cooperative SLAM, active SLAM and combined with artificial intelligence technology. However, there were few research in this field aiming at optimization method model, related problem branch research and semantic mapping which should be taken as the primary research direction in the next step.

相似文献/References:

[1]张勇党兰学.线性判别分析特征提取稀疏表示人面识别方法[J].郑州大学学报(工学版),2015,36(02):94.[doi:10.3969/ j.issn.1671 -6833.2015.02.021]
 ZHANG Yong,DANG Lan-xue.Sparse Representation-based Face RecognitionMethod by LDA Feature Extraction[J].Journal of Zhengzhou University (Engineering Science),2015,36(03):94.[doi:10.3969/ j.issn.1671 -6833.2015.02.021]
[2]赵进超,朱颗东,申圳,等.基于Hadoop的图像文理特征提取[J].郑州大学学报(工学版),2015,36(04):109.[doi:10.3969/ j. issn.1671 -6833.2015.04.025]
 ZHAO Jin-chao,ZHU Hao-cong,SHEN Zhen,et al.Image Texture Feature Extraction Based on Hadoop[J].Journal of Zhengzhou University (Engineering Science),2015,36(03):109.[doi:10.3969/ j. issn.1671 -6833.2015.04.025]
[3]毕莹,薛冰,张孟杰.GP算法在图像分析上的应用综述[J].郑州大学学报(工学版),2018,39(06):3.[doi:10.13705/j.issn.1671-6833.2018.06.018]
 Bi Ying,Xue Bing,Zhang Mengjie.A Survey on Genetic Programming to Image Analysis[J].Journal of Zhengzhou University (Engineering Science),2018,39(03):3.[doi:10.13705/j.issn.1671-6833.2018.06.018]
[4]刘洋,李凌均,王宇,等.基于FIF-CYCBD的滚动轴承故障特征提取方法研究[J].郑州大学学报(工学版),2022,43(04):35.[doi:10.13705/j.issn.1671-6833.2022.01.004]
 LIU Yang,LI Lingjun,WANG Yu,et al.Fault Feature Extraction Method of Rolling Bearings Based on FIF-CYCBD[J].Journal of Zhengzhou University (Engineering Science),2022,43(03):35.[doi:10.13705/j.issn.1671-6833.2022.01.004]
[5]万红,等.基于COP的太极桩功足底压力特征提取及分析[J].郑州大学学报(工学版),2024,45(pre):2.[doi:10.13705/j.issn.1671-6833.2025.01.016]
 WAN Hong,GU Zhi yuan,LI Mengmeng.COP-based Feature Extraction and Analysis of Plantar Pressure in Tai Chi Stake[J].Journal of Zhengzhou University (Engineering Science),2024,45(03):2.[doi:10.13705/j.issn.1671-6833.2025.01.016]

更新日期/Last Update: 2018-05-03