文献
J-GLOBAL ID:202202297542069815
整理番号:22A0501183
低光環境における正確な車線検出のための新しい深層学習ネットワーク【JST・京大機械翻訳】
A novel deep learning network for accurate lane detection in low-light environments
著者 (6件):
Song Shuang
(Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen, China)
,
Chen Wei
(Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen, China)
,
Liu Qianjie
(Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen, China)
,
Hu Huosheng
(School of Computer Science & Electronic Engineering, University of Essex, Colchester, UK)
,
Huang Tengchao
(Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen, China)
,
Zhu Qingyuan
(Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen, China)
資料名:
Proceedings of the Institution of Mechanical Engineers. Part D. Journal of Automobile Engineering
(Proceedings of the Institution of Mechanical Engineers. Part D. Journal of Automobile Engineering)
巻:
236
号:
2-3
ページ:
424-438
発行年:
2022年
JST資料番号:
H0947A
ISSN:
0954-4070
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)