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Iván F. Mondragón

Researcher at Pontifical Xavierian University

Publications -  62
Citations -  1372

Iván F. Mondragón is an academic researcher from Pontifical Xavierian University. The author has contributed to research in topics: Visual servoing & Fuzzy control system. The author has an hindex of 19, co-authored 57 publications receiving 1123 citations. Previous affiliations of Iván F. Mondragón include Technical University of Madrid & Polytechnic University of Puerto Rico.

Papers
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Journal ArticleDOI

Visual 3-D SLAM from UAVs

TL;DR: The results that have been obtained for localization, tested against the GPS information of the flights, show that Visual SLAM delivers reliable localization and mapping that makes it suitable for some outdoors applications when flying UAVs.
Journal ArticleDOI

Computer Vision Onboard UAVs for Civilian Tasks

TL;DR: In this article, the main focus is on the development of techniques that allow UAVs to maneuver in spaces using visual information as their main input source, and the results of applying these techniques in several applications are presented and discussed.
Proceedings ArticleDOI

3D pose estimation based on planar object tracking for UAVs control

TL;DR: The proposed algorithm robustly estimates the helicopter's 3D position with respect to a reference landmark, with a high quality on the position and orientation estimation when the aircraft is flying at low altitudes, a situation in which the GPS information is often inaccurate.
Journal ArticleDOI

Unmanned aerial vehicles UAVs attitude, height, motion estimation and control using visual systems

TL;DR: This paper presents an implementation of an aircraft pose and motion estimator using visual systems as the principal sensor for controlling an Unmanned Aerial Vehicle or as a redundant system for an Inertial Measure Unit (IMU) and gyros sensors.
Journal ArticleDOI

On-board and Ground Visual Pose Estimation Techniques for UAV Control

TL;DR: Two techniques to control UAVs (Unmanned Aerial Vehicles), based on visual information are presented, based on the detection and tracking of planar structures from an on-board camera and 3D reconstruction of the position of the UAV based on an external camera system.