Safe Return Path Mapping for Drone Applications

Autor: Jose Sanguino, Pedro Sebastiao, João Morais
Rok vydání: 2019
Předmět:
Zdroj: 2019 IEEE 5th International Workshop on Metrology for AeroSpace (MetroAeroSpace).
DOI: 10.1109/metroaerospace.2019.8869659
Popis: In a time of maturation of the drone market, these platforms are becoming increasingly more available and perform a myriad of tasks. In autonomous missions, the stage between the end of the mission and the landing at the Launch Point is of critical importance for the overall success of the mission being performed. In order to increase safety, this paper proposes a solution that uses flight data from previous missions to create a network of safe paths to be used when the drone is returning to the Launch Point. Search algorithms are used to process the network and find the shortest distance path.
Databáze: OpenAIRE