Titre :	Study of collision avoidance techniques in a fleet of drones
Type de document :	texte manuscrit
Auteurs :	Abdelkarim Souffi, Auteur ; Mohamed Ali Mahdi Taleb, Auteur ; Sarah Benkouider, Directeur de thèse
Editeur :	Laghouat : Université Amar Telidji - Département d'informatique
Année de publication :	2022
Importance :	55 p.
Format :	30 cm.
Accompagnement :	1 disque optique numérique (CD-ROM)
Note générale :	Option : Networks, systems and distributed applications (Réseaux,systèmes et applications réparties)
Langues :	Anglais
Mots-clés :	UAVs  UAV Swarm  Collision Avoidance  Obstacles
Résumé :	The airspace has a predominant presence of UAVs, a presence that has inspired researchers and developers in the military and civilian felds. Focusing on the missions of the UAVs, it performs tasks in a professional manner and during the process the mission feld is not free from obstacles of all kinds fxed and moving in the event of a collision, the mission will fail. This situation requires methods and algorithms that allow the UAV to make a decision on how to avoid colliding with these obstacles at frst and avoid colliding with them secondly, which inspired us to research and present it in this work. Through this work, in the frst part, we will describe the components of the drone, its classifcations and felds of application. Moving on to the second part, in which we will present the obstacle detection system then the methods and how to avoid collisions. At the end of this work, we will present a new method to avoid collisions based on the methods presented previously, focusing on its shortcomings and weaknesses.
note de thèses :	Mémoire de master en informatique

Study of collision avoidance techniques in a fleet of drones [texte manuscrit] / Abdelkarim Souffi, Auteur ; Mohamed Ali Mahdi Taleb, Auteur ; Sarah Benkouider, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'informatique, 2022 . - 55 p. ; 30 cm. + 1 disque optique numérique (CD-ROM).
Option : Networks, systems and distributed applications (Réseaux,systèmes et applications réparties)
Langues : Anglais

Mots-clés :	UAVs  UAV Swarm  Collision Avoidance  Obstacles
Résumé :	The airspace has a predominant presence of UAVs, a presence that has inspired researchers and developers in the military and civilian felds. Focusing on the missions of the UAVs, it performs tasks in a professional manner and during the process the mission feld is not free from obstacles of all kinds fxed and moving in the event of a collision, the mission will fail. This situation requires methods and algorithms that allow the UAV to make a decision on how to avoid colliding with these obstacles at frst and avoid colliding with them secondly, which inspired us to research and present it in this work. Through this work, in the frst part, we will describe the components of the drone, its classifcations and felds of application. Moving on to the second part, in which we will present the obstacle detection system then the methods and how to avoid collisions. At the end of this work, we will present a new method to avoid collisions based on the methods presented previously, focusing on its shortcomings and weaknesses.
note de thèses :	Mémoire de master en informatique