ICUAS'17 Paper Abstract


Paper ThA2.1

Martins, Ricardo Ferreira (Santa Catarina State University), Almeida, Gian Lucas Nunes de (Universidade do Estado de Santa Catarina), Leal, André Bittencourt (Santa Catarina State University – UDESC)

Towards Automatic Code Generation for UAV Mission Planning Using Decision Sensors

Scheduled for presentation during the "Path Planning - IV" (ThA2), Thursday, June 15, 2017, 10:00−10:20, Salon AB

2017 International Conference on Unmanned Aircraft Systems, June 13-16, 2017, Miami Marriott Biscayne Bay, Miami, FL,

This information is tentative and subject to change. Compiled on April 12, 2021

Keywords Path Planning, Simulation, UAS Applications


The planning of an autonomous mission for UAVs requires more than the description of the points to be visited along the trajectory by which a certain task must be performed. However, the way in which such missions are planned does not provide conditions for the aircraft or the ground control system to find alternative ways of carrying out the mission, in the event of a risk or other situation different from what was initially planned. In this sense, this paper makes use of a complementary description of the trajectory of a UAV, specifying it through the Discrete Events Systems (DES) framework. Furthermore, it makes use of sensor information to identify situations of risk and, from this, to systematically carry out changes in the mission initially programmed in the aircraft in order to avoid undesired situations.



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