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.

Bibliografische gegevens
Hoofdauteurs: Ruhi, Zurana Mehrin, Sheetal, Farahatul Aziz, Prithu, Farisha Hossain
Andere auteurs: Arif, Hossain
Formaat: Thesis
Taal:en_US
Gepubliceerd in: Brac University 2021
Onderwerpen:
CNN
Residual Network
Machine Learning
XGboost
Road Inspection
Potholes
Cracks
Online toegang:http://hdl.handle.net/10361/14359

Internet

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

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