Inspection of large building is an important task since it can prevent material and human losses. A cheap and fast way to do the inspections is by sensors mounted on quadrotor vehicles. The challenge here is to compute a trajectory so that the building is completely observed while this same trajectory can be followed by the quadrotor in a smooth way. To address the problem, we propose a method that receives a 2.5D model of the target building and computes a smooth trajectory that can be followed by the quadrotor controller. The computed trajectory is a Fourier series that matches the desired behaviour. Our method has been tested in simulation and we have compared it against polynomial trajectories. Our result show that the method is efficient and can be applied to different building shapes.

The COVID-19 pandemic is causing a devastating effect on the health of global population. There are several efforts to prevent the spread of the virus. Among those efforts, cleaning and disinfecting public areas has become an important task. This task is not restricted a to disinfection, but it is also applied to painting or precision agriculture. Current state of the art planners determine a route, but they do not consider that the plan will be executed in closed areas or they do not model the sprinkler coverage. In this paper, we propose a coverage path planning algorithm for area disinfection, our method considers the scene restrictions as well as the sprinkler coverage. We have tested the method in several simulation scenes. Our experiments show that the method is efficient and covers more areas with respect to current methods.