Error Reduction in Vision-Based Multirotor Landing System.

New applications are continuously appearing with drones as protagonists, but all of them share an essential critical maneuver-landing. New application requirements have led the study of novel landing strategies, in which vision systems have played and continue to play a key role. Generally, the new applications use the control and navigation systems embedded in the aircraft.

Forecasting Nonlinear Systems with LSTM: Analysis and Comparison with EKF.

Certain difficulties in path forecasting and filtering problems are based in the initial hypothesis of estimation and filtering techniques. Common hypotheses include that the system can be modeled as linear, Markovian, Gaussian, or all at one time. Although, in many cases, there are strategies to tackle problems with approaches that show very good results, the associated engineering process can become highly complex, requiring a great deal of time or even becoming unapproachable.