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)
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)
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)
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)
The use of the corpus becomes essential in the development of applications based on natural language processing (NLP). In Ecuador, these applications are incompatible because in each region use words outside the context of Spanish. This article presents the development of a corpus compatible with Ecuadorian natural language words. We applied a(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)
This paper describes an obstacle avoidance system for low-cost Unmanned Aerial Vehicles (UAVs) using vision as the principal source of information through the monocular onboard camera. For detecting obstacles, the proposed system compares the image obtained in real time from the UAV with a database of obstacles that must be avoided. In our proposal, we(More)
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