文献
J-GLOBAL ID:202102253330560581
整理番号:21A0993550
ピクセル毎符号曝露測定を用いた実時間および深層学習ベースの車両検出と分類【JST・京大機械翻訳】
Real-Time and Deep Learning Based Vehicle Detection and Classification Using Pixel-Wise Code Exposure Measurements
著者 (9件):
Kwan Chiman
(Applied Research LLC, Rockville, MD 20850, USA)
,
Gribben David
(Applied Research LLC, Rockville, MD 20850, USA)
,
Chou Bryan
(Applied Research LLC, Rockville, MD 20850, USA)
,
Budavari Bence
(Applied Research LLC, Rockville, MD 20850, USA)
,
Larkin Jude
(Applied Research LLC, Rockville, MD 20850, USA)
,
Rangamani Akshay
(Electrical and Computer Engineering Department, Johns Hopkins University; Baltimore, MD 21218, USA)
,
Tran Trac
(Electrical and Computer Engineering Department, Johns Hopkins University; Baltimore, MD 21218, USA)
,
Zhang Jack
(Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02138, USA)
,
Etienne-Cummings Ralph
(Electrical and Computer Engineering Department, Johns Hopkins University; Baltimore, MD 21218, USA)
資料名:
Electronics (Web)
(Electronics (Web))
巻:
9
号:
6
ページ:
1014
発行年:
2020年
JST資料番号:
U7178A
ISSN:
2079-9292
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)