Disc Golf Course Inference from User Mobile Location Data
Name
Karl Valliste
Abstract
The aim of current bachelor's thesis is to investigate whether it is possible with enough accuracy to infer the locations of disc golf starting area and basket locations from the user’s Android smartphone location data. During the writing of this thesis an Android application was created that enables the user to get feedback on his/her throws and simultaniously collects GPS data about the course. From the gathered GPS data, disc golf park locations were inferred. The inferred locations were then compared to real life data and accuracy in meters was calculated. The accuracy of the data collected during this thesis was less than 6 meters in 91% of the cases and 100% of the results were less than 8.5 meters. Such accuracy is however sufficient for automatic mapping of other courses without manual verification because this is more accurate than manual input from a smart device.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Jakob Mass
Defence year
2017