| Title | Optimal Collision-free Navigation for Multi-Rotor UAV Swarms in Urban Areas |
|---|---|
| ID_Doc | 41214 |
| Authors | Wan, XP; Ghazzai, H; Massoud, Y; Menouar, H |
| Title | Optimal Collision-free Navigation for Multi-Rotor UAV Swarms in Urban Areas |
| Year | 2019 |
| Published | |
| Abstract | The use of micro unmanned aerial vehicles (UAVs) has gained a lot of interests, especially for smart city applications due to their three-dimensional (3D) mobility and flexibility. Path planning is one of the most important UAV problems that need to be addressed. In this paper, we focus on determining the optimal routes for a fleet of UAVs in urban cities that minimize the total arrival time of all UAV swarms while respecting their energy consumption constraints and avoiding the risk of collision. Through a mixed integer linear program, we develop a safe navigation framework for realistic 3D maps where charging stations are made available to recharge UAV batteries on their ways to the destination. Our results investigate different scenarios for selected system parameters and illustrate different collision avoidance techniques followed by the UAVs. |
Similar Articles
| ID | Score | Article |
|---|---|---|
42188
|
Bahabry, A; Wan, XP; Ghazzai, H; Menouar, H; Vesonder, G; Massoud, Y Low-Altitude Navigation for Multi-Rotor Drones in Urban Areas(2019) | |
| 37078
|
Bahabry, A; Wan, XP; Ghazzai, H; Vesonder, G; Massoud, YH Collision-free Navigation and Efficient Scheduling for Fleet of Multi-Rotor Drones in Smart City(2019) | |
| 37984
|
Zema, NR; Natalizio, E; Pugliese, LD; Guerriero, F 3D Trajectory Optimization for Multimission UAVs in Smart City Scenarios(2024)Ieee Transactions On Mobile Computing, 23, 1 |