prikaz prve stranice dokumenta Autonomno izbjegavanje prepreka bespilotnom letjelicom korištenjem algoritma potencijalnih polja
No public access
master's thesis
Autonomno izbjegavanje prepreka bespilotnom letjelicom korištenjem algoritma potencijalnih polja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:221984
Kutleša, Ivo
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Kutleša, I. (2020). Autonomno izbjegavanje prepreka bespilotnom letjelicom korištenjem algoritma potencijalnih polja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:221984

Kutleša, Ivo. "Autonomno izbjegavanje prepreka bespilotnom letjelicom korištenjem algoritma potencijalnih polja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:221984

Kutleša, Ivo. "Autonomno izbjegavanje prepreka bespilotnom letjelicom korištenjem algoritma potencijalnih polja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:221984

Kutleša, I. (2020). 'Autonomno izbjegavanje prepreka bespilotnom letjelicom korištenjem algoritma potencijalnih polja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 03 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:221984

Kutleša I. Autonomno izbjegavanje prepreka bespilotnom letjelicom korištenjem algoritma potencijalnih polja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 June 03] Available at: https://urn.nsk.hr/urn:nbn:hr:168:221984

I. Kutleša, "Autonomno izbjegavanje prepreka bespilotnom letjelicom korištenjem algoritma potencijalnih polja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:221984

Metadata
TitleAutonomno izbjegavanje prepreka bespilotnom letjelicom korištenjem algoritma potencijalnih polja
Title (english)Autonomous obstacle avoidance for an UAV based on potential fields algorithm
AuthorIvo Kutleša
MentorStjepan Bogdan (mentor)
Committee memberStjepan Bogdan (predsjednik povjerenstva)
Committee memberMatko Orsag (član povjerenstva)
Committee memberTamara Petrović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Algoritam umjetnih potencijalnih polja korišten za autonomno izbjegavanje prepreka bespilotnom četverorotorskom letjelicom kao nadopuna algoritmu za planiranje globalne trajektorije. Za mjerenje udaljenosti letjelice od prepreka je korišten LiDaR laserski senzor. Algoritam je implementiran koristeći ROS (eng. \textit{Robot Operating System}) i testiran u Gazebo simulatoru na modelu Bebop bespilotne letjelice. Testirano je i prikazano zaobilaženje jednostavih i složenih prepreka.
Abstract (english)
Artificial potential fields algorithm is used for autonomous obstacle avoidance for an UAV, in addition to the global trajectory planner. LiDaR laser sensor is used for measuring distance between UAV and obstacles. Algorithm is implemented in ROS (Robot Operating System) and tested in Gazebo simulator, using Bebeop UAV model. Simple and complex obstacle avoidance is tested and presented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:221984
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2023-01-13 10:16:06