On Training Road Surface Classifiers by Data Augmentation

On Training Road Surface Classifiers by Data Augmentation

It is demonstrated that data augmentation is a promising approach to reduce the size of the captured dataset required for training automatic road surface classifiers. The context is on-board systems for autonomous or semi-autonomous driving assistance: automatic power-assisted steering. Evidence is...

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Bibliographic Details
Main Authors: Addisson Salazar, Alberto Rodríguez, Nancy Vargas, Luis Vergara
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
driving assistance
road surface classification
machine learning
data augmentation
Online Access:https://www.mdpi.com/2076-3417/12/7/3423

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