文献
J-GLOBAL ID:202202235704641106
整理番号:22A0624376
リアルタイムビジョンベース歩行者安全応用のための帯域幅要求を低減するための動的誤差限界損失圧縮【JST・京大機械翻訳】
Dynamic error-bounded lossy compression to reduce the bandwidth requirement for real-time vision-based pedestrian safety applications
著者 (5件):
Rahman Mizanur
(Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL, USA)
,
Islam Mhafuzul
(Glenn Department of Civil Engineering, Clemson University, Clemson, SC, USA)
,
Holt Cavender
(Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, USA)
,
Calhoun Jon
(Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, USA)
,
Chowdhury Mashrur
(Glenn Department of Civil Engineering, Clemson University, Clemson, SC, USA)
資料名:
Journal of Real-Time Image Processing
(Journal of Real-Time Image Processing)
巻:
19
号:
1
ページ:
117-131
発行年:
2022年
JST資料番号:
W4661A
ISSN:
1861-8200
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)