Ahmad Merei- PhD in Computer Science
- PhD Student at Université du Québec à Chicoutimi
Ahmad Merei
- PhD in Computer Science
- PhD Student at Université du Québec à Chicoutimi
| UAV Path Planning | Obstacle Detection & Avoidance | NFZ Avoidance |
About
5
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Introduction
I am a PhD student in Computer Science at Université du Québec à Chicoutimi (UQAC), specializing in path planning for UAVs. My research interests are mainly focused on Energy Aware Path Planning, NFZ, Obstacle Detection and Avoidance, and Emergency Safe Landing for UAVs.
Current institution
Additional affiliations
November 2023 - May 2024
Education
December 2021
October 2017 - July 2019
October 2014 - May 2017
Publications
Publications (5)
![Disparity map creation from stereo images [54]. (a) Left Camera; (b)...](publication/389808920/figure/fig5/AS:11431281431702081@1746807828460/Disparity-map-creation-from-stereo-images-54-a-Left-Camera-b-right-camera-c_Q320.jpg)
Obstacle avoidance is crucial for the successful completion of UAV missions. Static and dynamic obstacles, such as trees, buildings, flying birds, or other UAVs, can threaten these missions. As a result, safe path planning is essential, particularly for missions involving multiple UAVs. Collision-free paths can be designed in either 2D or 3D enviro...
![AED attached to the UAV (Life-UAV AED) [59]](publication/372680730/figure/fig5/AS:11431281215024300@1703905402012/AED-attached-to-the-UAV-Life-UAV-AED-59_Q320.jpg)
This article presents a comprehensive review of the state-of-the-art applications and methodologies related to the use of unmanned aerial vehicles (UAVs) in the healthcare sector, with a particular focus on path planning. UAVs have gained
remarkable attention in healthcare during the outbreak of COVID-19, and this study explores their potential as...
![Coverage algorithm proposed in [22] for the area of interest.](publication/342690632/figure/fig1/AS:11431281391473277@1745325323565/Coverage-algorithm-proposed-in-22-for-the-area-of-interest_Q320.jpg)
Area monitoring and surveillance are some of the main applications for Unmanned Aerial Vehicle (UAV) networks. The scientific problem that arises from this application concerns the way the area must be covered to fulfill the mission requirements. One of the main challenges is to determine the paths for the UAVs that optimize the usage of resources...
The presence of obstacles like a tree, buildings, or birds along the path of a drone has the ability to endanger and harm the UAV’s flight mission. Avoiding obstacles is one of the critical challenging keys to successfully achieve a UAV’s mission. The path planning needs to be adapted to make intelligent and accurate avoidance online and in time. I...
The usage of Unmanned Aerial Vehicles (UAVs) is rapidly increasing for several duties. This UAV technology becomes promising in providing new opportunities in many fields, such as smart agriculture, photogrammetry, remote sensing, wireless coverage, rescuing and many others. Controlling the mobility of a UAV while monitoring geographical zones is o...
