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  • ElecEng
  • GC-ElecEng 2021
  • 43.Cnf-1170
ElecEng Congresses with Published Papers
GC-ElecEng 2020, Valencia
GC-ElecEng 2021, Valencia
Papers Published at GC-ElecEng 2021
All 11 Papers
IDAuthors and TitlePages
43.Cnf-38 Mr. Aron Kondoro
Ms. Diana Rwegasira
Prof. Imed Dhaou
Prof. Hannu Tenhunen
Trends of using blockchain technology in the smart grid
63.Cnf-75 Mr. Andres Rojas
Prof. Gordana J. Dolecek
Evaluation of Supervised Machine Learning Classification Algorithms for Fingerprint Recognition
62.Cnf-106 Mr. Joan Carles Montero
Ms. Merce Feliu
Dr. Joan Bas
Optical Communications Through Low Orbit Satellites
63.Cnf-140 Dr. Mohammad Al-Mousa
Mr. Nael Sweerky
Dr. Ghassan Samara
Dr. Mohammed Alghanim
Ms. Abla Hussein
Mr. Braa Qadoumi
General Countermeasures of Anti-Forensics Categories
62.Cnf-143 Dr. Ghassan Samara
Mr. Mohammad Hussein
Dr. Khalid Alqawasmi
Alarm System at street junctions (ASSJ) to avoid accidents Using VANET system
43.Cnf-1170 Mr. Zayd Khashshan
Dr. Moudar Zgoul
Optic Flow-based Vision System for Autonomous and Collision-free Navigation of Micro Aerial Vehicles
62.Cnf-1173 Mr. Fernando Salazar-Quiñonez
Prof. Raed Abd-Alhameed
Mr. Andrew Cowley
Mr. Derek Bladen
UHF Radio Extender System for Ship to Shore Communications using 3D SBR for Positioning
63.Cnf-1174 Prof. Gordana J. Dolecek
Improving Characteristics of Compensated Sharpened CIC Decimation Filters
35.Cnf-1175 Ms. Aika Silveira Miura
Ms. Mar Parra Boronat
Prof. Jaime Lloret
Prof. Miguel Rodilla
LED optical sensor prototype to determine dissolved oxygen saturation in water
35.Cnf-1176 Dr. Falih Alkhafaji
Modelling High speed Robotic Arm for Industrial Applications
43.Cnf-1177 Mr. Juan Luis Mayor Puyol
Dr. Victor Monzón Baeza
Bycicle Sharing System Using an IoT Network
43.Cnf-1170 Paper View Page
Title Optic Flow-based Vision System for Autonomous and Collision-free Navigation of Micro Aerial Vehicles
Authors Mr. Zayd Khashshan, University of Jordan, Amman, Jordan
Dr. Moudar Zgoul, University of Jordan, Amman, Jordan
Abstract In this work, a monocular camera-based obstacle avoidance system was designed to improve autonomous operation of quadcopters in dynamic environments, already hindered by sensors’ heavyweight and processing and energy requirements. The work underwent two stages. First, the system dynamics were modeled, linearized, and controlled using PD controllers. Then, an optic flow-based hybrid obstacle avoidance algorithm was developed. The algorithm consisted of three approaches that account for avoiding frontal and peripheral objects, while aiming to the final position. The developed system was tested in a challenging scenario that mimics a real forest using Webots simulator. Results demonstrated an 85% success rate of avoiding obstacles. Cases of system failure resulted due to the linearization constraint which blocked ad hoc aggressive behaviour.
Track MVST: Machine Vision Systems and Technologies
Conference 2nd Mosharaka International Conference on Smart Systems and Technologies (MIC-Smart 2021)
Congress 2021 Global Congress on Electrical Engineering (GC-ElecEng 2021), 10-12 December 2021, Valencia, Spain
Pages 29-34
Topics Computer Vision
Image Processing for Machine Vision
ISSN 2227-331X
BibTeX @inproceedings{1170ElecEng2021,
title={Optic Flow-based Vision System for Autonomous and Collision-free Navigation of Micro Aerial Vehicles },
author={Zayd Khashshan, and Moudar Zgoul},
booktitle={2021 Global Congress on Electrical Engineering (GC-ElecEng 2021)},
organization={Mosharaka for Research and Studies} }
Paper Views 4 Paper Views Rank 149/524
Paper Downloads 4 Paper Downloads Rank 92/524
GC-ElecEng 2021 Visits: 1648||MIC-Smart 2021 Visits: 364||MVST Track Visits: 42