Search using a swarm of unmanned aerial vehicles
| Autor: | Pavel Cicak, Ivan Kotuliak, Viktor Sulak |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
021103 operations research
Computer science Real-time computing 0211 other engineering and technologies Swarm behaviour Search procedure ComputerApplications_COMPUTERSINOTHERSYSTEMS 020206 networking & telecommunications 02 engineering and technology Mobile ad hoc network Drone Search algorithm Path (graph theory) 0202 electrical engineering electronic engineering information engineering Robot Motion planning Simulation |
| Zdroj: | 2017 15th International Conference on Emerging eLearning Technologies and Applications (ICETA). |
| DOI: | 10.1109/iceta.2017.8102534 |
| Popis: | Unmanned aerial vehicles are becoming an effective platform to perform all kinds of civil missions nowadays. This paper focuses on path planning for multiple unmanned aerial vehicles devices performing search missions. This planning consists of several logical steps — first, an area must be split into smaller logical areas, then the search algorithm is selected, ground path is generated and transformed into aerial path. All these steps are described and the most common approaches are detailed. We also mention approaches to create network using drones to further optimize search procedure. |
| Databáze: | OpenAIRE |
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