文献
J-GLOBAL ID:202202238986054279
整理番号:22A0329447
車線線セグメンテーションのための結合符号化モデルに基づく新しい多モード融合ネットワーク【JST・京大機械翻訳】
A novel multimodal fusion network based on a joint-coding model for lane line segmentation
著者 (11件):
Zou Zhenhong
(State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China)
,
Zou Zhenhong
(Center for Intelligent Connected Vehicles and Transportation, Tsinghua University, Beijing, China)
,
Zhang Xinyu
(State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China)
,
Zhang Xinyu
(School of Transportation Science and Engineering, Beihang University, Beijing, China)
,
Zhang Xinyu
(Center for Intelligent Connected Vehicles and Transportation, Tsinghua University, Beijing, China)
,
Liu Huaping
(Department of Computer Science and Technology, Tsinghua University, Beijing, China)
,
Li Zhiwei
(State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China)
,
Li Zhiwei
(Center for Intelligent Connected Vehicles and Transportation, Tsinghua University, Beijing, China)
,
Hussain Amir
(School of Computing, Edinburgh Napier University, Edinburgh, UK)
,
Li Jun
(State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China)
,
Li Jun
(Center for Intelligent Connected Vehicles and Transportation, Tsinghua University, Beijing, China)
資料名:
Information Fusion
(Information Fusion)
巻:
80
ページ:
167-178
発行年:
2022年
JST資料番号:
W3167A
ISSN:
1566-2535
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)