文献
J-GLOBAL ID:202002253095737508
整理番号:20A2146943
ビジュアルSLAMのためのマップマージングアルゴリズム:実現可能性研究と経験的評価【JST・京大機械翻訳】
Map-Merging Algorithms for Visual SLAM: Feasibility Study and Empirical Evaluation
著者 (7件):
Bokovoy Andrey
(Artificial Intelligence Research Institute, Federal Research Center for Computer Science and Control of Russian Academy of Sciences, Moscow, Russia)
,
Bokovoy Andrey
(Peoples’ Friendship University of Russia (RUDN University), Moscow, Russia)
,
Muraviev Kirill
(Artificial Intelligence Research Institute, Federal Research Center for Computer Science and Control of Russian Academy of Sciences, Moscow, Russia)
,
Muraviev Kirill
(Moscow Institute of Physics and Technology, Dolgoprudny, Russia)
,
Yakovlev Konstantin
(Artificial Intelligence Research Institute, Federal Research Center for Computer Science and Control of Russian Academy of Sciences, Moscow, Russia)
,
Yakovlev Konstantin
(Moscow Institute of Physics and Technology, Dolgoprudny, Russia)
,
Yakovlev Konstantin
(National Research University Higher School of Economics, Moscow, Russia)
資料名:
Lecture Notes in Computer Science
(Lecture Notes in Computer Science)
巻:
12412
ページ:
46-60
発行年:
2020年
JST資料番号:
H0078D
ISSN:
0302-9743
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)