Wilbert G. Aguilar

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In recent times, micro aerial vehicles (MAVs) are becoming popular for several applications as rescue, surveillance, mapping, etc. Undesired motion between consecutive frames is a problem in a video recorded by MAVs. There are different approaches, applied in video post-processing, to solve this issue. However, there are only few algorithms able to be(More)
This paper describes a 3D path planning system that is able to provide a solution trajectory for the automatic control of a robot. The proposed system uses a point cloud obtained from the robot workspace, with a Kinect V2 sensor to identify the interest regions and the obstacles of the environment. Our proposal includes a collision-free path planner based(More)
The emerging branch of micro aerial vehicles (MAVs) has attracted a great interest for their indoor navigation capabilities, but they require a high quality video for tele-operated or autonomous tasks. A common problem of on-board video quality is the effect of undesired movements, so different approaches solve it with both mechanical stabilizers or video(More)
Wilbert G. Aguilar 1,2,3,*, Verónica P. Casaliglla 4,* and José L. Pólit 4,* 1 Centro de Investigación Científica y Tecnológica del Ejército CICTE, Universidad de las Fuerzas Armadas ESPE, Sangolqui 171103, Ecuador 2 Departamento de Seguridad y Defensa, Universidad de las Fuerzas Armadas ESPE, Sangolqui 171103, Ecuador 3 Research Group on Knowledge(More)
The goal of our work is an obstacle avoidance system for MAVs using only a monocular camera. The proposed system detects obstacles in real-time from the micro aerial vehicle (MAV) and compares with the stored images in a database, if there is a match acts the control law to avoid it. Our proposal includes the feature point detector Speeded Up Robust(More)
In this paper, we propose an algorithm for pedestrian detection focusing on UAV applications. Our proposal is based on a combination of Haar-LBP features with Adaboost for the training process, and Meanshift for improving the performance of the pedestrian detector. We mount a dataset with images captured from surveillance cameras. Our dataset and algorithm(More)