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- W3145285619 abstract "This paper presents a solution for Humanitarian Aid and Disaster Relief (HADR) using a swarm of UAV’s which are capable of mapping the affected area and spotting human and livestock in the disaster stuck area. It will send the surveyed information to the ground station and relief packages can be dropped at specific locations. The swarm consists of hybrid VTOL UAV’s capable of vertical take-off and landing in rough terrain, in the absence of a landing strip. The flight time achieved is greater than an hour with a range of 50 km, which is unattainable with a conventional multirotor. The automated operation is implemented by pre-programming the system with a framework specific to the application. A learning network can be implemented to allow for better efficiency of system in multiple disaster scenarios. Flight stabilization is done with the help of a system of redundant IMU sensors computed on an on-board computer. The UAS is capable of localization and navigating in GPS enabled environments as well as, GPS denied environments with the help of a GPS, compass and inertial navigation fused with Visual Odometry. We use PSO to implement the swarm UAV’s, it is required to mitigate mid-air collisions between UAV’s in airspace and allocate work among them." @default.
- W3145285619 created "2021-04-13" @default.
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- W3145285619 date "2021-01-01" @default.
- W3145285619 modified "2023-10-16" @default.
- W3145285619 title "Swarm Optimization of Multiple UAV’s for Resource Allocation in Humanitarian Aid and Disaster Relief Operations" @default.
- W3145285619 doi "https://doi.org/10.1007/978-981-33-4866-0_30" @default.
- W3145285619 hasPublicationYear "2021" @default.
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