University of Twente Student Theses

Login

Classification of types of road damage using machine learning and a smartwatch

Renssen, Martijn (2019) Classification of types of road damage using machine learning and a smartwatch.

[img] PDF
638kB
Abstract:The goal of this research is to investigate how accurately machine learning algorithms can classify different types of road damage using accelerometer data from a smartwatch. The accelerometer data is not collected with a real smartwatch, but with a wearable sensor made for motion capture. The types of road damage that were tested with are potholes, cracks and crocodile cracks in asphalt roads only.
Item Type:Essay (Bachelor)
Clients:
Unknown organization, Warnsveld
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science, 55 traffic technology, transport technology
Programme:Computer Science BSc (56964)
Link to this item:http://purl.utwente.nl/essays/77794
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page