A comparative study of deep learning methods for automating road condition characterization

A comparative study of deep learning methods for automating road condition characterization

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Detalles Bibliográficos
Main Authors: Ruhi, Zurana Mehrin, Sheetal, Farahatul Aziz, Prithu, Farisha Hossain
Outros autores: Arif, Hossain
Formato: Thesis
Idioma:en_US
Publicado: Brac University 2021
Subjects:
CNN
Residual Network
Machine Learning
XGboost
Road Inspection
Potholes
Cracks
Acceso en liña:http://hdl.handle.net/10361/14359

Internet

http://hdl.handle.net/10361/14359

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