A Real-Time Vehicle Counting, Speed Estimation, and Classification System Based on Virtual Detection Zone and YOLO
In recent years, vehicle detection and classification have become essential tasks of intelligent transportation systems, and real-time, accurate vehicle detection from image and video data for traffic monitoring remains challenging. The most noteworthy challenges are real-time system operation to ac...
Guardado en:
Autores principales: | Cheng-Jian Lin, Shiou-Yun Jeng, Hong-Wei Lioa |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Hindawi Limited
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/ecc098a3d5a24c59b846c46caeaca029 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A Fast Vehicle Counting and Traffic Volume Estimation Method Based on Convolutional Neural Network
por: Henglong Yang, et al.
Publicado: (2021) -
Realization of the Ultrasonic Motor Speed Control System Based on H-Bridge
por: Tan Jiawan, et al.
Publicado: (2021) -
Torque Control Based Speed Synchronization for Two-Speed Gear Electric Vehicle
por: Taeyeon Lee, et al.
Publicado: (2021) -
Reinforcement Learning-Based Multiple Constraint Electric Vehicle Charging Service Scheduling
por: Yongguang Liu, et al.
Publicado: (2021) -
YOLO-RTUAV: Towards Real-Time Vehicle Detection through Aerial Images with Low-Cost Edge Devices
por: Hong Vin Koay, et al.
Publicado: (2021)