Upravljanje bespilotnom letjelicom pokretima ruke

master's thesis

• Title (english): Piloting an Unmanned Aerial Vehicle by Hand Movements
• Author: Filip Ivanić
• Mentor: Karolina Krajček Nikolić (mentor)
• Committee member: Tomislav Radišić (predsjednik povjerenstva)
• Committee member: Petar Andraši (član povjerenstva)
• Committee member: Tino Bucak (član povjerenstva)
• Granter: University of Zagreb; Faculty of Transport and Traffic Sciences; (Division of Aeronautics); (Department of Aeronautics); Zagreb
• Defense date and country: 2023-03-14, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Traffic and Transport Technology; Air Traffic

Abstract

Upravljanje dronovima pokretima ruke postaje sve popularniji način kontrole ovih bespilotnih letjelica. U ovom diplomskom radu istražuje se razvoj intuitivnog upravljanja dronom pokretima ruke uz pomoć Arduino Uno platforme i senzora pokreta ADXL345. To podrazumijeva prilagodbu postojećeg drona i daljinskog upravljača na način da se upravlja nagibom ruke putem senzora pokreta umjesto klasične kontrole s dvije palice. U radu će biti predstavljeni ključni aspekti projektiranja, izrade i... More testiranja ovog intuitivnog upravljačkog sustava za dron, kao i eksperimentalni rezultati dobiveni korištenjem ovog sustava upravljanja. Pokazat će se da je upravljanje dronom pokretima ruke jednako funkcionalno kao i klasično upravljanje s dvije palice. Less

Abstract (english)

Controlling drones with hand gestures is becoming an increasingly popular method of controlling these unmanned aerial vehicles. This thesis explores the development of an intuitive drone control system using hand gestures with the help of an Arduino Uno platform and ADXL345 motion sensors. Specifically, the existing drone and remote control are adapted to control the drone by tilting the hand using the motion sensor, instead of using the traditional two joysticks. The thesis presents... More key aspects of designing, building, and testing an intuitive drone control system using hand gestures, as well as experimental results obtained using this control system. It will be shown that controlling drones with hand gestures is just as functional as traditional two-joystick control. Less

• Keywords: akcelerometar; bespilotne letjelice; Arduino Uno; ADXL345; RC filteri
• Keywords (english): accelerometer; unmanned aerial vehicles; Arduino Uno; ADXL345; RC filters
• Language: croatian
• URN:NBN: urn:nbn:hr:119:789778
• Study programme: Title: Aeronautics; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka aeronautike (magistar/magistra inženjer/inženjerka aeronautike)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2023-03-29 14:11:59