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Исследование эффективности ÑÐ²ÐµÑ€Ñ‚Ð¾Ñ‡Ð½Ñ‹Ñ Ð½ÐµÐ¹Ñ€Ð¾Ð½Ð½Ñ‹Ñ ÑÐµÑ‚ÐµÐ¹ при решении задачи одновременной локализации и построения карты

выпускная квалификационная работа бакалавра

Исследование эффективности ÑÐ²ÐµÑ€Ñ‚Ð¾Ñ‡Ð½Ñ‹Ñ Ð½ÐµÐ¹Ñ€Ð¾Ð½Ð½Ñ‹Ñ ÑÐµÑ‚ÐµÐ¹ при решении задачи одновременной локализации и построения карты

Abstract

Тема бакалаврской работы относится к области машинного обучения «с учителем». В ходе работы было проведено исследование применимости сверточных в комбинации с рекуррентными нейронных сетей при решении задачи одновременной локализации и построения карты. Была смоделирована и реализована архитектура требуемой сети. Реализованная модель была обучена и протестирована, после чего были описаны выводы.

Keywords

карта глубины, машинное обучение, slam, нейронная сеть

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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