Predviđanje trajektorije loptice dubinskim vizualnim senzorom

undergraduate thesis

• Title (english): Ball trajectory prediction with a depth visual sensor
• Author: Tibor Bataljak Savić
• Mentor: Ivan Marković (mentor)
• Committee member: Ivan Marković (predsjednik povjerenstva)
• Committee member: Luka Petrović (član povjerenstva)
• Committee member: Filip Marić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-07-16, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Poznavanje okoline temeljna je pretpostavka autonomnog djelovanja robota. Vizualna percepcija korištenjem dubinskih vizualnih senzora jedan je od načina dobivanja informacije o okolini robota. Detekcija i praćenje objekata u mjerenjima senzora ključni su zadaci percepcijskog sustava. U mnogim je praktičnim primjenama autonomne manipulacije potrebno ostvariti zadatke poput hvatanja, blokiranja ili udaranja gibajućih objekata. Zbog dinamičkih ograničenja robotske ruke, za uspješno ostvarivanje... More navedenih zadataka, osim detekcije i praćenja, nužno je i predviđati trajektoriju gibajućeg objekta. U ovom završnom radu razvijen je algoritam detekcije, praćenja i predviđanja trajektorije loptice dubinskim vizualnim senzorom. Less

Abstract (english)

Knowing the robotic system's environment is one of the basic assumptions when using these systems. Visual perception using a visual-depth sensor is one of the ways of getting information about the robot's environment. Detection and object tracking is a crucial task of every perception system. In many practical applications of autonomous manipulation, it is necessary to accomplish tasks like catching, blocking, or hitting moving objects. Because of the dynamic limitations of the robotic arm,... More for the successful accomplishment of these tasks, besides detection and tracking, it is necessary to predict the trajectory of the moving object. In this paper, an algorithm for ball detection, tracking, and trajectory prediction using a depth-visual sensor is developed. Less

• Keywords: Detekcija objekata; praćenje objetaka; predviđanje trajektorije; umjetne neuronske mreže
• Keywords (english): Object detection; object tracking; trajectory prediction; artificial neural networks
• Language: croatian
• URN:NBN: urn:nbn:hr:168:597343
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-14 08:25:40