Taldrikugolfi radade tuvastamine kasutaja telefoni asukoha andmete abil
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2017
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Käesoleva lõputöö eesmärgiks on välja uurida, kas kasutaja Android nutitelefoni asukoha andmetest on võimalik piisava täpsusega eraldada taldrikugolfi radade stardi- ja lõpukorvi asukohad. Bakalaureusetöö käigus loodi Android mobiilirakendus, mis võimaldab kasutajal saada tagasisidet oma visete kohta ning mis kogub samaaegselt GPS andmeid raja kohta. Kogutud andmete põhjal ennustati taldrikugolfi raja punktid. Ennustatud punkte võrreldi seejärel tegelike asukohtadega ning arvutati andmete täpsus meetrites. Antud teesi käigus oli kogutud andmete täpsus oli alla 6 meetri 91% juhtudest ning 100% ennustatud punktidest olid täpsusega alla 8.5 meetri. Selline täpsus on aga piisav, et tulemusi kasutada teiste radade automaatseks kaardistamiseks ilma manuaalse kontrollita, sest see on täpsem, kui manuaalne sisestamine nuti seadmest.
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.
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.