References of "Martinez Luna, Carol 50040102"
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See detailThe Power Line Inspection Software (PoLIS): A versatile system for automating power line inspection
Martinez Luna, Carol UL; Sampedro, Carlos; Chauhan, Aneesh et al

in Engineering applications of artificial intelligence (2018), 71

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See detailTowards image mosaicking with aerial images for monitoring rice crops
Rojas, Juan; Martinez Luna, Carol UL; Mondragon, Ivan et al

in Advances in Automation and Robotics Research in Latin America (2017)

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See detailSetup of the yaskawa sda10f robot for industrial applications, using ros-industrial
Martinez Luna, Carol UL; Barrero, Nicolas; Hernandez, Wilson et al

in Advances in Automation and Robotics Research in Latin America (2017)

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See detailHMPMR strategy for real-time tracking in aerial images, using direct methods
Martinez Luna, Carol UL; Campoy, Pascual; Fernando Mondragon, Ivan et al

in Machine Vision and Applications (2014), 25(5), 1283-1308

The vast majority of approaches make use of features to track objects. In this paper, we address the tracking problem with a tracking-by-registration strategy based on direct methods. We propose a ... [more ▼]

The vast majority of approaches make use of features to track objects. In this paper, we address the tracking problem with a tracking-by-registration strategy based on direct methods. We propose a hierarchical strategy in terms of image resolution and number of parameters estimated in each resolution, that allows direct methods to be applied in demanding real-time visual-tracking applications. We have called this strategy the Hierarchical Multi-Parametric and Multi-Resolution strategy (HMPMR). The Inverse Composition Image Alignment Algorithm (ICIA) is used as an image registration technique and is extended to an HMPMR-ICIA. The proposed strategy is tested with different datasets and also with image data from real flight tests using an Unmanned Aerial Vehicle, where the requirements of direct methods are easily unsatisfied (e.g. vehicle vibrations). Results show that using an HMPMR approach, it is possible to cope with the efficiency problem and with the small motion constraint of direct methods, conducting the tracking task at real-time frame rates and obtaining a performance that is comparable to, or even better than, the one obtained with the other algorithms that were analyzed. [less ▲]

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See detailA supervised approach to electric tower detection and classification for power line inspection
Sampedro, Carlos; Martinez Luna, Carol UL; Chauhan, Aneesh et al

in 2014 International Joint Conference on Neural Networks (IJCNN) (2014)

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See detailTowards autonomous detection and tracking of electric towers for aerial power line inspection
Martinez Luna, Carol UL; Sampedro, Carlos; Chauhan, Aneesh et al

in 2014 International Conference on Unmanned Aircraft Systems (ICUAS) (2014)

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See detailAutonomous Guided Car Using a Fuzzy Controller
Olivares Mendez, Miguel Angel UL; Campoy, Pascual; Mellado-Bataller, Ignacio et al

in Sen Gupta, Gourab; Bailey, Donald; Demidenko, Serge (Eds.) et al Recent Advances in Robotics and Automation (2013)

The goal of the work described in this paper is to develop a visual line guided system for being used on-board an Autonomous Guided Vehicle (AGV) commercial car, controlling the steering and using just ... [more ▼]

The goal of the work described in this paper is to develop a visual line guided system for being used on-board an Autonomous Guided Vehicle (AGV) commercial car, controlling the steering and using just the visual information of a line painted below the car. In order to implement the control of the vehicle, a Fuzzy Logic controller has been implemented, that has to be robust against curvature changes and velocity changes. The only input information for the controller is the visual distance from the image center captured by a camera pointing downwards to the guiding line on the road, at a commercial frequency of 30Hz. The good performance of the controller has successfully been demonstrated in a real environment at urban velocities. The presented results demonstrate the capability of the Fuzzy controller to follow a circuit in urban environments without previous information about the path or any other information from additional sensors. [less ▲]

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See detailA Hierarchical Tracking Strategy for Vision-Based Applications On-Board UAVs
Martinez Luna, Carol UL; Mondragón, Iván; Campoy, Pascual et al

in Journal of Intelligent & Robotic Systems (2013), 72(3-4), 517-539

In this paper, we apply a hierarchical tracking strategy of planar objects (or that can be assumed to be planar) that is based on direct methods for vision-based applications on-board UAVs. The use of ... [more ▼]

In this paper, we apply a hierarchical tracking strategy of planar objects (or that can be assumed to be planar) that is based on direct methods for vision-based applications on-board UAVs. The use of this tracking strategy allows to achieve the tasks at real-time frame rates and to overcome problems posed by the challenging conditions of the tasks: e.g. constant vibrations, fast 3D changes, or limited capacity on-board. The vast majority of approaches make use of featurebased 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 in which part of the object to track is outside of the field of view of the camera. The performance of the proposed tracking strategy onboard UAVs is evaluated with images from realflight tests using manually-generated ground truthinformation, accurate position estimation using a Vicon system, and also with simulated data from a simulation environment. Results show that the hierarchical tracking strategy performs better than well-known feature-based algorithms and wellknown configurations of direct methods, and that its performance is robust enough for vision-in-theloop tasks, e.g. for vision-based landing tasks. [less ▲]

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See detailTowards autonomous air-to-air refuelling for UAVs using visual information
Martinez Luna, Carol UL; Richardson, Thomas; Campoy, Pascual

in 2013 IEEE International Conference on Robotics and Automation (2013)

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See detailVisual Tracking, Pose Estimation, and Control for Aerial Vehicles
Martinez Luna, Carol UL

Doctoral thesis (2013)

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See detailA vision-based strategy for autonomous aerial refueling tasks
Martinez Luna, Carol UL; Richardson, Thomas; Thomas, Peter et al

in Robotics and Autonomous Systems (2013), 61(8), 876--895

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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 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 detailA multi-resolution image alignment technique based on direct methods for pose estimation of aerial vehicles
Martinez Luna, Carol UL; Mejias, Luis; Campoy, Pascual

in 2011 International Conference on Digital Image Computing: Techniques and Applications (2011)

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See detailTrinocular ground system to control UAVs
Martinez Luna, Carol UL; Campoy, Pascual; Mondragón, Iván et al

in 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (2009)

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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 ▲]

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See detailFuzzy control system navigation using priority areas
Olivares Mendez, Miguel Angel UL; Campoy, P.; Martinez Luna, Carol UL et al

in Ruan, D (Ed.) COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL (2008)

This paper presents an improvement for the software implementation (MOFS) of a user adaptive fuzzy control system for autonomous navigation of mobile robots in unknown environments. This improvement ... [more ▼]

This paper presents an improvement for the software implementation (MOFS) of a user adaptive fuzzy control system for autonomous navigation of mobile robots in unknown environments. This improvement consists of a priority areas definition where the environment is measured by a PLS laser sensor, in order to get a reduction in the number of fuzzy rules and also in the computational cost, and hence obtaining improvements in the trajectory. This system has been tested in a pioneer mobile robot and on a robotic wheelchair, odometry sensors are used to localize the robots and the goal positions. The system is able to drive the robots to their goal position avoiding static and dynamic obstacles, without using any pre-built map. This approach improves the way to measure the danger of the obstacles, the way to follow the walls of corridors and the detection of doors. These improvements reduce the zigzag effect of the previous system by making the trajectories significantly straighter and hence reducing the time to reach the goal position. [less ▲]

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