Road Surface Quality Detection Using Accelerometer Data
Name
Madis Kariler
Abstract
Smartphones and tablets have become an integral part of modern society. Increasing popularity, computing power and availability of different sensors have opened new ways to utilize these smart devices.
In addition to smartphones and tablets, another important aspect of modern society is the road network. Since roads are used by a large number of people every day, deterioration remains a problem in many places. The aim of this thesis is to provide an algorithm for road surface quality detection and an Android application for accelerometer data collection.
The algorithm uses accelerometer data, collected from different roads, in order to train a classifier for road surface quality detection. The accelerometer data is collected with the aforementioned Android application, which is developed as a result of this thesis. The overall result of this thesis is a proof of concept solution, that can be used to detect and classify the surface quality of roads into three road quality categories.
In addition to smartphones and tablets, another important aspect of modern society is the road network. Since roads are used by a large number of people every day, deterioration remains a problem in many places. The aim of this thesis is to provide an algorithm for road surface quality detection and an Android application for accelerometer data collection.
The algorithm uses accelerometer data, collected from different roads, in order to train a classifier for road surface quality detection. The accelerometer data is collected with the aforementioned Android application, which is developed as a result of this thesis. The overall result of this thesis is a proof of concept solution, that can be used to detect and classify the surface quality of roads into three road quality categories.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Amnir Hadachi, PhD
Defence year
2017