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Simultaneous Localization and Mapping System on the Basis of a CoreSLAM Approach. / Baramiya, D. A.; D’yakov, M. S.; Kuzikovskii, S. A. et al.

In: Optoelectronics, Instrumentation and Data Processing, Vol. 53, No. 6, 01.11.2017, p. 599-603.

Research output: Contribution to journal › Article › peer-review

Harvard

Baramiya, DA, D’yakov, MS, Kuzikovskii, SA & Lavrentyev, MM 2017, 'Simultaneous Localization and Mapping System on the Basis of a CoreSLAM Approach', Optoelectronics, Instrumentation and Data Processing, vol. 53, no. 6, pp. 599-603. https://doi.org/10.3103/S8756699017060097

APA

Baramiya, D. A., D’yakov, M. S., Kuzikovskii, S. A., & Lavrentyev, M. M. (2017). Simultaneous Localization and Mapping System on the Basis of a CoreSLAM Approach. Optoelectronics, Instrumentation and Data Processing, 53(6), 599-603. https://doi.org/10.3103/S8756699017060097

Vancouver

Baramiya DA, D’yakov MS, Kuzikovskii SA, Lavrentyev MM. Simultaneous Localization and Mapping System on the Basis of a CoreSLAM Approach. Optoelectronics, Instrumentation and Data Processing. 2017 Nov 1;53(6):599-603. doi: 10.3103/S8756699017060097

Author

Baramiya, D. A. ; D’yakov, M. S. ; Kuzikovskii, S. A. et al. / Simultaneous Localization and Mapping System on the Basis of a CoreSLAM Approach. In: Optoelectronics, Instrumentation and Data Processing. 2017 ; Vol. 53, No. 6. pp. 599-603.

BibTeX

@article{50a2005c998742aba7010cdfa2d06bf1,
title = "Simultaneous Localization and Mapping System on the Basis of a CoreSLAM Approach",
abstract = "A new method of loop closure based on storage of local maps of obstacles and meant for reducing accumulated localization errors is proposed. The advantage of this method in comparison with the earlier one is in the decreased amount of RAM. Testing results for the developed system and comparisons with analogs are presented.",
keywords = "iterative closest point (ICP) algorithm, loop closure, particle filter, position prediction, simultaneous localization and mapping (SLAM)",
author = "Baramiya, {D. A.} and D{\textquoteright}yakov, {M. S.} and Kuzikovskii, {S. A.} and Lavrentyev, {M. M.}",
year = "2017",
month = nov,
day = "1",
doi = "10.3103/S8756699017060097",
language = "English",
volume = "53",
pages = "599--603",
journal = "Optoelectronics, Instrumentation and Data Processing",
issn = "8756-6990",
publisher = "Allerton Press Inc.",
number = "6",

}

RIS

TY - JOUR

T1 - Simultaneous Localization and Mapping System on the Basis of a CoreSLAM Approach

AU - Baramiya, D. A.

AU - D’yakov, M. S.

AU - Kuzikovskii, S. A.

AU - Lavrentyev, M. M.

PY - 2017/11/1

Y1 - 2017/11/1

N2 - A new method of loop closure based on storage of local maps of obstacles and meant for reducing accumulated localization errors is proposed. The advantage of this method in comparison with the earlier one is in the decreased amount of RAM. Testing results for the developed system and comparisons with analogs are presented.

AB - A new method of loop closure based on storage of local maps of obstacles and meant for reducing accumulated localization errors is proposed. The advantage of this method in comparison with the earlier one is in the decreased amount of RAM. Testing results for the developed system and comparisons with analogs are presented.

KW - iterative closest point (ICP) algorithm

KW - loop closure

KW - particle filter

KW - position prediction

KW - simultaneous localization and mapping (SLAM)

UR - http://www.scopus.com/inward/record.url?scp=85042684237&partnerID=8YFLogxK

U2 - 10.3103/S8756699017060097

DO - 10.3103/S8756699017060097

M3 - Article

AN - SCOPUS:85042684237

VL - 53

SP - 599

EP - 603

JO - Optoelectronics, Instrumentation and Data Processing

JF - Optoelectronics, Instrumentation and Data Processing

SN - 8756-6990

IS - 6

ER -

ID: 10343729