中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
FFT based scan-matching for SLAM application with low-cost laser range finder

文献类型:期刊论文

作者Guolai Jiang; Lei Yin; Guodong Liu; Weina Xi; Yongsheng Ou
刊名APPLIED SCIENCES-BASEL
出版日期2018
文献子类期刊论文
英文摘要Simultaneous Localization and Mapping (SLAM) is an active area of robot research. SLAM with laser range finder (LRF) is an effective way for localization and navigation. However, commercial robots usually have to use low-cost LRF sensors, which results in lower resolution and higher noise. Traditional scan matching algorithms may often fail while robot running too fast in complex environments. According to this problem, this paper purposes a new method of scan matching based on Fast Fourier Transform (FFT), as well as its application with a low-cost LRF based SLAM frame-work. In our FFT based scan matching method, we change the scan data within a range of distance from laser to image. FFT is applied to the images to get the rotation angle and translation parameters. Experiment results show that the purposed method can improve the scan matching and SLAM performance for low-cost LRF in complex environments
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语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/13682]  
专题深圳先进技术研究院_集成所
推荐引用方式
GB/T 7714
Guolai Jiang,Lei Yin,Guodong Liu,et al. FFT based scan-matching for SLAM application with low-cost laser range finder[J]. APPLIED SCIENCES-BASEL,2018.
APA Guolai Jiang,Lei Yin,Guodong Liu,Weina Xi,&Yongsheng Ou.(2018).FFT based scan-matching for SLAM application with low-cost laser range finder.APPLIED SCIENCES-BASEL.
MLA Guolai Jiang,et al."FFT based scan-matching for SLAM application with low-cost laser range finder".APPLIED SCIENCES-BASEL (2018).

入库方式: OAI收割

来源:深圳先进技术研究院

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