FGSC: Fuzzy Guided Scale Choice SSD Model for Edge AI Design on Real-Time Vehicle Detection and Class Counting
The aim of this paper is to distinguish the vehicle detection and count the class number in each classification from the inputs. We proposed the use of Fuzzy Guided Scale Choice (FGSC)-based SSD deep neural network architecture for vehicle detection and class counting with parameter optimization. Th...
Guardado en:
Autores principales: | Ming-Hwa Sheu, S. M. Salahuddin Morsalin, Jia-Xiang Zheng, Shih-Chang Hsia, Cheng-Jian Lin, Chuan-Yu Chang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/ecbaca4a0aa54a0cabbbf4ddcbf7b907 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Automatic Clutch Engagement Control for Parallel Hybrid Electric Vehicle
por: Trieu Minh Vu, et al.
Publicado: (2021) -
Novel Electrical Modeling, Design and Comparative Control Techniques for Wireless Electric Vehicle Battery Charging
por: Adel El-Shahat, et al.
Publicado: (2021) -
Stability of Interval Type-3 Fuzzy Controllers for Autonomous Vehicles
por: Man-Wen Tian, et al.
Publicado: (2021) -
NEURO-FUZZY CONTROL OF THE LUMBER DRYING PROCESS
por: A.I. Diveev, et al.
Publicado: (2021) -
On a Fuzzy Metric Space and Fuzzy Convergence
por: Khalaf,Alias B., et al.
Publicado: (2021)