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1 Ergebnisse
1
State-of-the-Art Object Detectors for Vehicle, Pedestrian, ..:
, In:
2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
,
Njoku, Judith Nkechinyere
;
Anyanwu, Goodness Oluchi
;
Igboanusi, Ikechi Saviour
... - p. 1585-1590 , 2022
Link:
https://doi.org/10.1109/ICTC55196.2022.9952856
RT T1
2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
: T1
State-of-the-Art Object Detectors for Vehicle, Pedestrian, and Traffic Sign Detection for Smart Parking Systems
UL https://suche.suub.uni-bremen.de/peid=ieee-9952856&Exemplar=1&LAN=DE A1 Njoku, Judith Nkechinyere A1 Anyanwu, Goodness Oluchi A1 Igboanusi, Ikechi Saviour A1 Nwakanma, Cosmas Ifeanyi A1 Lee, Jae-Min A1 Kim, Dong-Seong YR 2022 SN 2162-1241 K1 Training K1 Measurement K1 Analytical models K1 Visualization K1 Computational modeling K1 Object detection K1 Detectors K1 Deep learning K1 pedestrian detection K1 smart parking K1 traffic sign detection K1 vehicle detection SP 1585 OP 1590 LK http://dx.doi.org/https://doi.org/10.1109/ICTC55196.2022.9952856 DO https://doi.org/10.1109/ICTC55196.2022.9952856 SF ELIB - SuUB Bremen
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