A Study on Traditional and CNN Based Computer Vision Sensors for Detection and Recognition of Road Signs with Realization for ADAS

The aim of this chapter is to provide an overview of how road signs can be detected and recognized to aid the ADAS applications and thus enhance the safety employing digital image processing and neural network based methods. The chapter also provides a comparison of these methods.

Guardado en:
Detalles Bibliográficos
Autores principales: Shivanna, Vinay M., Chen, Kuan-Chou, Wu, Bo-Xun, Guo, Jiun-In
Formato: Capítulo de libro
Lenguaje:inglés
Publicado: IntechOpen 2021
Materias:
Acceso en línea:https://www.intechopen.com/chapters/78576
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares: A Study on Traditional and CNN Based Computer Vision Sensors for Detection and Recognition of Road Signs with Realization for ADAS