中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Iterated Conditional Modes to Solve Simultaneous Localization and Mapping in Markov Random Fields Context

文献类型:期刊论文

作者J. Gimenez; A. Amicarelli; J. M. Toibero; F. di Sciascio; R. Carelli
刊名International Journal of Automation and Computing
出版日期2018
卷号15期号:3页码:310-324
关键词Simultaneous localization and mapping Markov random fields iterated conditional modes modelling on-line solver.
ISSN号1476-8186
DOI10.1007/s11633-017-1109-4
英文摘要This paper models the complex simultaneous localization and mapping (SLAM) problem through a very flexible Markov random field and then solves it by using the iterated conditional modes algorithm. Markovian models allow to incorporate: any motion model; any observation model regardless of the type of sensor being chosen; prior information of the map through a map model; maps of diverse natures; sensor fusion weighted according to the accuracy. On the other hand, the iterated conditional modes algorithm is a probabilistic optimizer widely used for image processing which has not yet been used to solve the SLAM problem. This iterative solver has theoretical convergence regardless of the Markov random field chosen to model. Its initialization can be performed on-line and improved by parallel iterations whenever deemed appropriate. It can be used as a post-processing methodology if it is initialized with estimates obtained from another SLAM solver. The applied methodology can be easily implemented in other versions of the SLAM problem, such as the multi-robot version or the SLAM with dynamic environment. Simulations and real experiments show the flexibility and the excellent results of this proposal.
源URL[http://ir.ia.ac.cn/handle/173211/42412]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位Automatics Institute, National University of San Juan, San Juan 5400, Argentina
推荐引用方式
GB/T 7714
J. Gimenez,A. Amicarelli,J. M. Toibero,et al. Iterated Conditional Modes to Solve Simultaneous Localization and Mapping in Markov Random Fields Context[J]. International Journal of Automation and Computing,2018,15(3):310-324.
APA J. Gimenez,A. Amicarelli,J. M. Toibero,F. di Sciascio,&R. Carelli.(2018).Iterated Conditional Modes to Solve Simultaneous Localization and Mapping in Markov Random Fields Context.International Journal of Automation and Computing,15(3),310-324.
MLA J. Gimenez,et al."Iterated Conditional Modes to Solve Simultaneous Localization and Mapping in Markov Random Fields Context".International Journal of Automation and Computing 15.3(2018):310-324.

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来源:自动化研究所

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