Title Izrada jeftine mobilne platforme za razvoj navigacijskih algoritama
Title (english) Construction of a low-cost mobile platform for the development of navigation algorithms
Author Luka Barković
Mentor Miroslav Horvatić (mentor)
Committee member Ivan Šumiga (predsjednik povjerenstva)
Committee member Miroslav Horvatić (član povjerenstva)
Committee member Matija Mikac (član povjerenstva)
Granter University North (University centre Varaždin) (Department of Electrical Engineering) Koprivnica
Defense date and country 2021-07-15, Croatia
Scientific / art field, discipline and subdiscipline TECHNICAL SCIENCES Electrical Engineering Automation and Robotics
Abstract Završnim radom prikazani su zahtjevi koje treba zadovoljiti mobilna platforma, opisani su elementi korišteni za izradu završnog rada, prikazano je međusobno povezivanje i konfiguriranje pojedinih elemenata, upravljanje vozilom i opis gotove mobilne platforme koja je spremna za izradu navigacijskih algoritama. Nakon uvodnog dijela prikazuju se zadaci koje u konačnici mobilna platforma mora ispuniti. Navode se zahtjevi poput skeniranja prostora korištenjem LIDAR (Light Detection and Ranging) senzora, uspješno prenošenje podataka s Raspberry Pi pločice na Arduino korištenjem I2C protokola i slično. Detaljno se opisuje LIDAR senzor i ostali elementi kao što su tranzistorski most L298N, Raspberry Pi 3B+, Arduino Due i relejni modul. Prikazano je povezivanje navedenih elemenata i dane su sheme spajanja, a isto tako i programski kodovi koji pokazuju na koji način se implementira upravljanje vozilom i konfiguracija pojedinih elemenata. Na kraju su prikazani rezultati dobiveni razvojem mobilne platforme, npr. grafički prikaz mape prostora, snimak dobiven Raspberry Pi kamerom i uređaj s kojeg se vrši upravljanje korištenjem WiFi veze. Prikazana je obrada podataka dobivenih LIDAR senzorom, realizirana, korištenjem Python programskog jezika te nakon toga programiranje da bi se stvorila mapa prostora. Izvedeno je upravljanje mobilnom platformom korištenjem kursorskih tipki na tipkovnici udaljenog računala. Tablično su prikazane cijene pojedinih elemenata pri čemu se uočava da je uvjerljivo najskuplji dio mobilne platforme LIDAR senzor. Izračunati su ukupni troškovi izrade mobilne platforme.
Abstract (english) The final work presents the requirements that need to be met by the mobile platform, describes the elements used to create the final work, shows the interconnection and configuration of individual elements, vehicle management and a description of the finished mobile platform ready to create navigation algorithms. After the introductory part, the tasks that the mobile platform must ultimately fulfill are presented. Requirements such as space scanning using LIDAR (Light Detection and Ranging) sensors, successful data transfer from Raspberry Pi to Arduino using I2C protocol, and stuff like that. The LIDAR sensor and other elements such as the L298N transistor bridge, Raspberry Pi 3B +, Arduino Due and relay module are described in detail. The connection of the mentioned elements is shown and the connection diagrams are given, as well as the program codes that show how the vehicle management and the configuration of the individual elements are implemented. Finally, the results obtained with the development of the mobile platform are presented, such as a graphical representation of the space map, a snapshot obtained by a Raspberry Pi camera and a device from which mobile platform is controlled using the WiFi network. The processing of data obtained by the LIDAR sensor, realized, using the Python programming language and then programming to create a space map is shown. Control of the mobile platform was performed using the cursor keys on the keyboard of the remote computer. The prices of individual elements are tabulated, and it can be seen that the most expensive part of the mobile platform is the LIDAR sensor. The total cost of building a mobile platform was calculated.
Keywords
Arduino
LIDAR senzor
mobilna platforma
navigacija
Python
Raspberry Pi
Keywords (english)
Arduino
LIDAR sensor
mobile platform
navigation
Python
Raspberry Pi
Language croatian
URN:NBN urn:nbn:hr:122:942487
Study programme Title: Electrical Engineering; specializations in: Automatisation, Biomedical Electronics Course: Automatisation Study programme type: professional Study level: undergraduate Academic / professional title: stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike (stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike)
Type of resource Text
File origin Born digital
Access conditions Open access
Terms of use
Created on 2021-07-23 06:26:18