文献
J-GLOBAL ID:201702224479265230
整理番号:17A1726872
最適経路計画のためのAUV運転特性のデータ駆動型学習とモデル化【Powered by NICT】
Data-driven learning and modeling of AUV operational characteristics for optimal path planning
著者 (10件):
Edwards Joseph R.
(Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, MA)
,
Smith Joshua
(Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, MA)
,
Girard Andrew
(Woods Hole Oceanographic Institute, Woods Hole, MA)
,
Wickman Diana
(Woods Hole Oceanographic Institute, Woods Hole, MA)
,
Lermusiaux Pierre F. J.
(Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA)
,
Subramani Deepak N.
(Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA)
,
Haley Patrick J.
(Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA)
,
Mirabito Chris
(Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA)
,
Kulkarni Chinmay S.
(Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA)
,
Jana Sudip
(Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
OCEANS
ページ:
1-5
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)