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.

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Bibliographic Details
Main Authors: Shivanna, Vinay M., Chen, Kuan-Chou, Wu, Bo-Xun, Guo, Jiun-In
Format: Book Chapter
Language:English
Published: IntechOpen 2021
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Online Access:https://www.intechopen.com/chapters/78576
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Description
Summary: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.
ISBN:978-1-83969-460-8
DOI:10.5772/intechopen.99416