References of "Mondragon, Ivan F."
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See detailHigh-throughput biomass estimation in rice crops using UAV multispectral imagery
Devia, Carlos A.; Rojas, Juan P.; Petro, Eliel et al

in Journal of Intelligent and Robotic Systems (2019), 96(3-4), 573--589

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See detailAerial mapping of rice crops using mosaicing techniques for vegetative index monitoring
Petro, E.; Martinez Luna, Carol UL; Mondragon, Ivan F. et al

in 2018 International Conference on Unmanned Aircraft Systems (ICUAS) (2018)

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See detailA Hierarchical Strategy for Real-Time Tracking On-Board UAVs
Martinez, Carol; Campoy, Pascual; Mondragon, Ivan F. et al

in ICUAS 2012 : 2012 International Conference on Unmanned Aircraft Systems (2012, June)

In this paper, we present a real-time tracking strategy based on direct methods for tracking tasks on-board UAVs, that is able to overcome problems posed by the challenging conditions of the task: e.g ... [more ▼]

In this paper, we present a real-time tracking strategy based on direct methods for tracking tasks on-board UAVs, that is able to overcome problems posed by the challenging conditions of the task: e.g. constant vibrations, fast 3D changes, and limited capacity on-board. The vast majority of approaches make use of feature-based methods to track objects. Nonetheless, in this paper we show that although some of these feature-based solutions are faster, direct methods can be more robust under fast 3D motions (fast changes in position), some changes in appearance, constant vibrations (without requiring any specific hardware or software for video stabilization), and situations where part of the object to track is out the field of view of the camera. The performance of the proposed strategy is evaluated with images from real-flight tests using different evaluation mechanisms (e.g. accurate position estimation using a Vicon sytem). Results show that our tracking strategy performs better than well known feature-based algorithms and well known configurations of direct methods, and that the recovered data is robust enough for vision-in-the-loop tasks. [less ▲]

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See detailA hierarchical strategy for real-time tracking on-board uavs
Martinez Luna, Carol UL; Campoy, Pascual; Mondragón, Iván F. et al

in ICUAS 2012: 2012 International Conference on Unmanned Aircraft Systems (2012)

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See detailOn-board and Ground Visual Pose Estimation Techniques for UAV Control
Martinez, Carol; Mondragon, Ivan F.; Olivares Mendez, Miguel Angel UL et al

in Journal of Intelligent and Robotic Systems (2011), 61(1-4), 301-320

In this paper, two techniques to control UAVs (Unmanned Aerial Vehicles), based on visual information are presented. The first one is based on the detection and tracking of planar structures from an on ... [more ▼]

In this paper, two techniques to control UAVs (Unmanned Aerial Vehicles), based on visual information are presented. The first one is based on the detection and tracking of planar structures from an on-board camera, while the second one is based on the detection and 3D reconstruction of the position of the UAV based on an external camera system. Both strategies are tested with a VTOL (Vertical take-off and landing) UAV, and results show good behavior of the visual systems (precision in the estimation and frame rate) when estimating the helicopter's position and using the extracted information to control the UAV. [less ▲]

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See detailOn-board and ground visual pose estimation techniques for UAV control
Martinez Luna, Carol UL; Mondragón, Iván F.; Olivares-Méndez, Miguel A. et al

in Journal of Intelligent and Robotic Systems (2011), 61(1), 301--320

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See detailFuzzy-4D/RCS for Unmanned Aerial Vehicles
Olivares Mendez, Miguel Angel UL; Campoy, Pascual; Mondragon, Ivan F. et al

in BICS 2010 Conference on Brain-Inspired Cognitive Systems (2010, July)

Abstract This paper presents an improvement of the cognitive architecture, 4D/RCS, developed by the NIST. This improvement consist of the insertion of Fuzzy Logic cells (FLCs), in different parts and ... [more ▼]

Abstract This paper presents an improvement of the cognitive architecture, 4D/RCS, developed by the NIST. This improvement consist of the insertion of Fuzzy Logic cells (FLCs), in different parts and hierarchy levels of the architecture, and the adaptation of this architecture for Unmanned Aerial Vehicles (UAVs). This advance provides an improvement in the functionality of the system based on the uses of the Miguel Olivares’ Fuzzy Software for the definition of the FLCs and its adaptative learning algorithm. These adaptative-FLCs contribute with the reduction of the uncertainty in the data sensor adquisition, a more adaptative behavior of the system to the real world and the reduction of the computational cost in the decision making. [less ▲]

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See detailVisual Servoing for UAVs
Campoy, Pascual; Mondragon, Ivan F.; Olivares Mendez, Miguel Angel UL et al

in Fung, Rong-Fong (Ed.) Visual Servoing (2010)

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See detailOmnidirectional vision applied to Unmanned Aerial Vehicles (UAVs) attitude and heading estimation
Mondragon, Ivan F.; Campoy, Pascual; Martinez, Carol et al

in Robotics & Autonomous Systems (2010), 58(6), 809-819

This paper presents an aircraft attitude and heading estimator using catadioptric images as a principal sensor for UAV or as a redundant system for IMU (Inertial Measure Unit) and gyro sensors. First, we ... [more ▼]

This paper presents an aircraft attitude and heading estimator using catadioptric images as a principal sensor for UAV or as a redundant system for IMU (Inertial Measure Unit) and gyro sensors. First, we explain how the unified theory for central catadioptric cameras is used for attitude and heading estimation, explaining how the skyline is projected on the catadioptric image and how it is segmented and used to calculate the UAV's attitude. Then, we use appearance images to obtain a visual compass, and we calculate the relative rotation and heading of the aerial vehicle. Finally the tests and results using the UAV COLIBRI platform and the validation of them in real flights are presented, comparing the estimated data with the inertial values measured on board. (C) 2010 Elsevier B.V. All rights reserved. [less ▲]

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See detail3D pose estimation based on planar object tracking for UAVs control
Mondragon, Ivan F.; Campoy, Pascual; Martinez, Carol et al

in Proccedings of IEEE International Conference on Robotics and Automation (ICRA) (2010)

This article presents a real time Unmanned Aerial Vehicles UAVs 3D pose estimation method using planar object tracking, in order to be used on the control system of a UAV. The method explodes the rich ... [more ▼]

This article presents a real time Unmanned Aerial Vehicles UAVs 3D pose estimation method using planar object tracking, in order to be used on the control system of a UAV. The method explodes the rich information obtained by a projective transformation of planar objects on a calibrated camera. The algorithm obtains the metric and projective components of a reference object (landmark or helipad) with respect to the UAV camera coordinate system, using a robust real time object tracking based on homographies. The algorithm is validated on real flights that compare the estimated data against that obtained by the inertial measurement unit IMU, showing that the proposed method 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. The obtained results indicate that the proposed algorithm is suitable for complex control tasks, such as autonomous landing, accurate low altitude positioning and dropping of payloads. [less ▲]

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See detailUnmanned aerial vehicles UAVs attitude, height, motion estimation and control using visual systems
Mondragon, Ivan F.; Olivares Mendez, Miguel Angel UL; Campoy, Pascual et al

in AUTONOMOUS ROBOTS (2010), 29(1), 17-34

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 (UAV) or as a redundant system for an ... [more ▼]

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 (UAV) or as a redundant system for an Inertial Measure Unit (IMU) and gyros sensors. First, we explore the applications of the unified theory for central catadioptric cameras for attitude and heading estimation, explaining how the skyline is projected on the catadioptric image and how it is segmented and used to calculate the UAV's attitude. Then we use appearance images to obtain a visual compass, and we calculate the relative rotation and heading of the aerial vehicle. Additionally, we show the use of a stereo system to calculate the aircraft height and to measure the UAV's motion. Finally, we present a visual tracking system based on Fuzzy controllers working in both a UAV and a camera pan and tilt platform. Every part is tested using the UAV COLIBRI platform to validate the different approaches, which include comparison of the estimated data with the inertial values measured onboard the helicopter platform and the validation of the tracking schemes on real flights. [less ▲]

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See detailVisual servoing using fuzzy controllers on an unmanned aerial vehicle
Olivares Mendez, Miguel Angel UL; Campoy, Pascual; Mondragon, Ivan F. et al

in EUROFUSE 2009. workshop on on preference modelling and decision analysis (2009, September)

This paper presents an implementa- tion of three Fuzzy Logic controllers working in parallel onboard a UAV, two for a pan-tilt camera platform and the third for control the yaw of the helicopter. This ... [more ▼]

This paper presents an implementa- tion of three Fuzzy Logic controllers working in parallel onboard a UAV, two for a pan-tilt camera platform and the third for control the yaw of the helicopter. This implementation uses a Lucas-Kanade tracker algo- rithm with a pyramidal optical ow implementation, which gives infor- mation to follow statics and moving objects, besides the UAV vibrations and movements. The platform con- troller is helped by the heading con- troller, in order to make smooth the big movements to the platform, re- ducing the risk of lost the warp selec- tion of the object to track. Also, the heading control remove the physic limit of the platform at the yaw axis. Some laboratory and UAV tests are presented in order to show the differ- ent behaviors and the good response of the presented controllers. [less ▲]

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See detailVisual 3-D SLAM from UAVs
Artieda, Jorge; Sebastian, Jose M.; Campoy, Pascual et al

in Journal of Intelligent and Robotic Systems (2009), 55(4-5), 299-321

The aim of the paper is to present, test and discuss the implementation of Visual SLAM techniques to images taken from Unmanned Aerial Vehicles (UAVs) outdoors, in partially structured environments. Every ... [more ▼]

The aim of the paper is to present, test and discuss the implementation of Visual SLAM techniques to images taken from Unmanned Aerial Vehicles (UAVs) outdoors, in partially structured environments. Every issue of the whole process is discussed in order to obtain more accurate localization and mapping from UAVs flights. Firstly, the issues related to the visual features of objects in the scene, their distance to the UAV, and the related image acquisition system and their calibration are evaluated for improving the whole process. Other important, considered issues are related to the image processing techniques, such as interest point detection, the matching procedure and the scaling factor. The whole system has been tested using the COLIBRI mini UAV in partially structured environments. 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. [less ▲]

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See detailVision for guidance and control of UAVs in civilian tasks
Campoy, Pascual; correa, Juan Fernando; Mondragon, Ivan F. et al

in UAV'08 International Symposium On Unmanned Aerial Vehicles (2008, June)

Computer vision is much more than a technique to sense and recover environmental information from an UAV. It should play a main role regarding UAVs’ functionality because of the big amount of information ... [more ▼]

Computer vision is much more than a technique to sense and recover environmental information from an UAV. It should play a main role regarding UAVs’ functionality because of the big amount of information that can be extracted, its possible uses and applications, and its natural connection to human driven tasks, taking into account that vision is our main interface to world understanding. Our current research’s focus lays on the development of techniques that allow UAVs to maneuver in spaces using visual information as their main input source. This task involves the creation of techniques that allow an UAV to maneuver towards features of interest whenever a GPS signal is not reliable or suffi cient, e.g. when signal dropouts occur (which usually happens in urban areas, when flying through terrestrial urban canyons or when operating on remote planetary bodies), or when tracking or inspecting visual targets—including moving ones—without knowing their exact UMT coordinates. This paper also investigates visual servoing control techniques that use velocity and position of suitable image features to compute the references for flight control. This paper aims to give a global view of the main aspects related to the research field of computer vision for UAVs, clustered in four main active research lines: visual servoing and control, stereo-based visual navigation, image processing algorithms for detection and tracking, and visual SLAM. Finally, the results of applying these techniques in several applications are presented and discussed: this study will encompass power line inspection, mobile target tracking, stereo distance estimation, mapping and positioning. [less ▲]

Detailed reference viewed: 49 (2 UL)