Reduction of the uncertainty in feature tracking

Research output: Contribution to journalArticleResearchpeer-review

Original languageEnglish
Pages (from-to)4626-4645
Number of pages20
JournalApplied Intelligence
Volume48
Issue number12
DOIs
Publication statusPublished - 1 Dec 2018

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Uncertainty
Navigation
Robots

Keywords

  • Feature tracking
  • Longest common subsequence
  • Mobile robots
  • Satisfiability problem
  • Visual navigation

ASJC Scopus subject areas

  • Artificial Intelligence

WoS ResearchAreas Categories

  • Computer Science, Artificial Intelligence

Cite this

@article{c003cfba9dfc48e0b68f24232c9dd3a3,
title = "Reduction of the uncertainty in feature tracking",
keywords = "Feature tracking, Longest common subsequence, Mobile robots, Satisfiability problem, Visual navigation",
author = "Anna Gorbenko and Vladimir Popov",
year = "2018",
month = "12",
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doi = "10.1007/s10489-018-1236-9",
language = "English",
volume = "48",
pages = "4626--4645",
journal = "Applied Intelligence",
issn = "0924-669X",
publisher = "Kluwer Academic Publishers",
number = "12",

}

Reduction of the uncertainty in feature tracking. / Gorbenko, Anna; Popov, Vladimir.

In: Applied Intelligence, Vol. 48, No. 12, 01.12.2018, p. 4626-4645.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Gorbenko, Anna

AU - Popov, Vladimir

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KW - Satisfiability problem

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U2 - 10.1007/s10489-018-1236-9

DO - 10.1007/s10489-018-1236-9

M3 - Article

VL - 48

SP - 4626

EP - 4645

JO - Applied Intelligence

JF - Applied Intelligence

SN - 0924-669X

IS - 12

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