Study of collision avoidance techniques in a fleet of drones

dc.contributor.authorSouffi, Abdelkarim
dc.contributor.authorTaleb, Mohamed Ali Mahdi
dc.contributor.authorBenkouider, Sarah
dc.date.accessioned2023-01-10T15:43:48Z
dc.date.available2023-01-10T15:43:48Z
dc.date.issued2022
dc.description.abstractThe 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.
dc.identifier.urihttps://dspace.lagh-univ.dz/handle/123456789/1076
dc.language.isoen
dc.publisherUniversité Amar Telidji - Laghouat - Département d'informatique
dc.titleStudy of collision avoidance techniques in a fleet of drones
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
MF 01-54.pdf
Size:
6.16 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: