文献
J-GLOBAL ID:201902261748962914
整理番号:19A2175632
精密製造のためのMarkov連鎖Gibbsサンプラーを用いた3D占有マッピングによる容積次最良の視点【JST・京大機械翻訳】
Volumetric Next Best View by 3D Occupancy Mapping Using Markov Chain Gibbs Sampler for Precise Manufacturing
著者 (5件):
Hou Lei
(Science and Engineering Faculty, Queensland University of Technology, Brisbane, QLD, Australia)
,
Chen Xiaopeng
(Key Laboratory of Biomimetic Robots and Systems of Ministry of Education, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China)
,
Lan Kunyan
(Key Laboratory of Biomimetic Robots and Systems of Ministry of Education, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China)
,
Rasmussen Rune
(Science and Engineering Faculty, Queensland University of Technology, Brisbane, QLD, Australia)
,
Roberts Jonathan
(Science and Engineering Faculty, Queensland University of Technology, Brisbane, QLD, Australia)
資料名:
IEEE Access
(IEEE Access)
巻:
7
ページ:
121949-121960
発行年:
2019年
JST資料番号:
W2422A
ISSN:
2169-3536
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)