References of "Sanchez Lopez, Jose Luis 50027149"
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See detailA vision-based quadrotor multi-robot solution for the indoor autonomy challenge of the 2013 international micro air vehicle competition
Pestana, Jesus; Sanchez Lopez, Jose Luis UL; De La Puente, Paloma et al

in Journal of Intelligent and Robotic Systems (2016), 84(1-4), 601--620

This paper presents a completely autonomous solution to participate in the 2013 International Micro Air Vehicle Indoor Flight Competition ({IMAV2013}). Our proposal is a modular multi-robot swarm ... [more ▼]

This paper presents a completely autonomous solution to participate in the 2013 International Micro Air Vehicle Indoor Flight Competition ({IMAV2013}). Our proposal is a modular multi-robot swarm architecture, based on the Robot Operating System (ROS) software framework, where the only information shared among swarm agents is each robot's position. Each swarm agent consists of an {AR Drone 2.0} quadrotor connected to a laptop which runs the software architecture. In order to present a completely visual-based solution the localization problem is simplified by the usage of ArUco visual markers. These visual markers are used to sense and map obstacles and to improve the pose estimation based on the IMU and optical data flow by means of an Extended Kalman Filter localization and mapping method. The presented solution and the performance of the CVG\_UPM team were awarded with the First Prize in the Indoors Autonomy Challenge of the {IMAV2013} competition. [less ▲]

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See detailUBRISTES: UAV-based building rehabilitation with visible and thermal infrared remote sensing
Carrio, Adrian; Pestana, Jesus; Sanchez Lopez, Jose Luis UL et al

in Robot 2015: Second Iberian Robotics Conference (2016, November)

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See detailSpecifying complex missions for aerial robotics in dynamic environments
Molina, Martin; Diaz-Moreno, Adrian; Palacios, David et al

Scientific Conference (2016, October)

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See detailThermal monitoring of facades by UAV: applications for building rehabilitation
Gonzalez-Rodrigo, Beatriz; Tendero-Caballero, Ricardo; Garcia-De-Viedma, Maria et al

in Dyna (2016), 91(5), 571--577

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See detailNatural user interfaces for human-drone multi-modal interaction
Suárez Fernández, Ramon; Sanchez Lopez, Jose Luis UL; Sampedro, Carlos et al

in 2016 International Conference on Unmanned Aircraft Systems (ICUAS) (2016, June)

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See detailA flexible and dynamic mission planning architecture for UAV swarm coordination
Sampedro, Carlos; Bavle, Hriday; Sanchez Lopez, Jose Luis UL et al

in 2016 International Conference on Unmanned Aircraft Systems (ICUAS) (2016, June)

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See detailAEROSTACK: An architecture and open-source software framework for aerial robotics
Sanchez Lopez, Jose Luis UL; Suárez Fernández, Ramon; Bavle, Hriday et al

in 2016 International Conference on Unmanned Aircraft Systems (ICUAS) (2016, June)

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See detailHistorical evolution of the unmanned aerial vehicles to the present
Cuerno-Rejado, Cristina; Garcia-Hernandez, Luis; Sanchez-Carmona, Alejandro et al

in Dyna (2016), 91(3), 282--288

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See detailVision-Based Steering Control, Speed Assistance and Localization for Inner-CityVehicles
Olivares Mendez, Miguel Angel UL; Sanchez Lopez, Jose Luis UL; Jimenez, Felipe et al

in Sensors (2016), 16(3), 362

Autonomous route following with road vehicles has gained popularity in the last few decades. In order to provide highly automated driver assistance systems, different types and combinations of sensors ... [more ▼]

Autonomous route following with road vehicles has gained popularity in the last few decades. In order to provide highly automated driver assistance systems, different types and combinations of sensors have been presented in the literature. However, most of these approaches apply quite sophisticated and expensive sensors, and hence, the development of a cost-efficient solution still remains a challenging problem. This work proposes the use of a single monocular camera sensor for an automatic steering control, speed assistance for the driver and localization of the vehicle on a road. Herein, we assume that the vehicle is mainly traveling along a predefined path, such as in public transport. A computer vision approach is presented to detect a line painted on the road, which defines the path to follow. Visual markers with a special design painted on the road provide information to localize the vehicle and to assist in its speed control. Furthermore, a vision-based control system, which keeps the vehicle on the predefined path under inner-city speed constraints, is also presented. Real driving tests with a commercial car on a closed circuit finally prove the applicability of the derived approach. In these tests, the car reached a maximum speed of 48 km/h and successfully traveled a distance of 7 km without the intervention of a human driver and any interruption. [less ▲]

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See detailAutomated low-cost smartphone-based lateral flow saliva test reader for drugs-of-abuse detection
Carrio, Adrian; Sampedro, Carlos; Sanchez Lopez, Jose Luis UL et al

in Sensors (2015), 15(11), 29569--29593

Lateral flow assay tests are nowadays becoming powerful, low-cost diagnostic tools. Obtaining a result is usually subject to visual interpretation of colored areas on the test by a human operator ... [more ▼]

Lateral flow assay tests are nowadays becoming powerful, low-cost diagnostic tools. Obtaining a result is usually subject to visual interpretation of colored areas on the test by a human operator, introducing subjectivity and the possibility of errors in the extraction of the results. While automated test readers providing a result-consistent solution are widely available, they usually lack portability. In this paper, we present a smartphone-based automated reader for drug-of-abuse lateral flow assay tests, consisting of an inexpensive light box and a smartphone device. Test images captured with the smartphone camera are processed in the device using computer vision and machine learning techniques to perform automatic extraction of the results. A deep validation of the system has been carried out showing the high accuracy of the system. The proposed approach, applicable to any line-based or color-based lateral flow test in the market, effectively reduces the manufacturing costs of the reader and makes it portable and massively available while providing accurate, reliable results. [less ▲]

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See detailFuseon: A low-cost portable multi sensor fusion research testbed for robotics
Sanchez Lopez, Jose Luis UL; Fu, Changhong; Campoy, Pascual

in Robot 2015: Second Iberian Robotics Conference (2015, November)

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See detailA vision based aerial robot solution for the Mission 7 of the International Aerial Robotics Competition
Sanchez Lopez, Jose Luis UL; Pestana, Jesus; Collumeau, Jean-Francois et al

in 2015 International Conference on Unmanned Aircraft Systems (ICUAS) (2015, June)

The International Aerial Robotics Competition (IARC) aims at pulling forward the state of the art in UAV. The Mission's 7 challenge deals mainly with GPS/Laser denied navigation, Robot-Robot interaction ... [more ▼]

The International Aerial Robotics Competition (IARC) aims at pulling forward the state of the art in UAV. The Mission's 7 challenge deals mainly with GPS/Laser denied navigation, Robot-Robot interaction and obstacle avoidance in the setting of a ground robot herding problem. We present in this paper our UAV which took part in the 2014 competition, in the China venue. This year, the mission was not completed by any participant but our team at Technical University of Madrid (UPM) were awarded with two special prizes: Best Target Detection and Best System Control. The platform, hardware and the developed software used in this top leading competition are presented in this paper. This software has three main components: the visual localization and mapping algorithm; the control algorithms; and the mission planner. A statement of the safety measures integrated in the drone and of our efforts to ensure field testing in conditions as close as possible to the challenger's are also included. [less ▲]

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See detailA vision based aerial robot solution for the IARC 2014 by the Technical University of Madrid
Pestana, Jesus; Sanchez Lopez, Jose Luis UL; Suarez-Fernandez, Ramon et al

Scientific Conference (2014, August)

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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 detailComputer vision based general object following for GPS-denied multirotor unmanned vehicles
Pestana, Jesus; Sanchez Lopez, Jose Luis UL; Saripalli, Srikanth et al

in 2014 American Control Conference (2014, June)

The motivation of this research is to show that visual based object tracking and following is reliable using a cheap GPS-denied multirotor platform such as the AR Drone 2.0. Our architecture allows the ... [more ▼]

The motivation of this research is to show that visual based object tracking and following is reliable using a cheap GPS-denied multirotor platform such as the AR Drone 2.0. Our architecture allows the user to specify an object in the image that the robot has to follow from an approximate constant distance. At the current stage of our development, in the event of image tracking loss the system starts to hover and waits for the image tracking recovery or second detection, which requires the usage of odometry measurements for self stabilization. During the following task, our software utilizes the forward-facing camera images and part of the IMU data to calculate the references for the four on-board low-level control loops. To obtain a stronger wind disturbance rejection and an improved navigation performance, a yaw heading reference based on the IMU data is internally kept and updated by our control algorithm. We validate the architecture using an AR Drone 2.0 and the OpenTLD tracker in outdoor suburban areas. The experimental tests have shown robustness against wind perturbations, target occlusion and illumination changes, and the system's capability to track a great variety of objects present on suburban areas, for instance: walking or running people, windows, AC machines, static and moving cars and plants. [less ▲]

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See detailA system for the design and development of vision-based multi-robot quadrotor swarms
Sanchez Lopez, Jose Luis UL; Pestana, Jesus; de la Puente, Paloma et al

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

This paper presents a cost-effective framework for the prototyping of vision-based quadrotor multi-robot systems, which core characteristics are: modularity, compatibility with different platforms and ... [more ▼]

This paper presents a cost-effective framework for the prototyping of vision-based quadrotor multi-robot systems, which core characteristics are: modularity, compatibility with different platforms and being flight-proven. The framework is fully operative, which is shown in the paper through simulations and real flight tests of up to 5 drones, and was demonstrated with the participation in an international micro-aerial vehicles competition3 where it was awarded with the First Prize in the Indoors Autonomy Challenge. The motivation of this framework is to allow the developers to focus on their own research by decoupling the development of dependent modules, leading to a more cost-effective progress in the project. The basic instance of the framework that we propose, which is flight-proven with the cost-efficient and reliable platform Parrot AR Drone 2.0 and is open-source, includes several modules that can be reused and modified, such as: a basic sequential mission planner, a basic 2D trajectory planner, an odometry state estimator, localization and mapping modules which obtain absolute position measurements using visual markers, a trajectory controller and a visualization module. [less ▲]

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See detailA Vision-based Quadrotor Swarm for the participation in the 2013 International Micro Air Vehicle Competition
Pestana, Jesus; Sanchez Lopez, Jose Luis UL; de la Puente, Paloma et al

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

This paper presents a completely autonomous solution to participate in the 2013 International Micro Air Vehicle Indoor Flight Competition (IMAV2013). Our proposal is a modular multi-robot swarm ... [more ▼]

This paper presents a completely autonomous solution to participate in the 2013 International Micro Air Vehicle Indoor Flight Competition (IMAV2013). Our proposal is a modular multi-robot swarm architecture, based on the Robot Operating System (ROS) software framework, where the only information shared among swarm agents is each robot's position. Each swarm agent consists of an AR Drone 2.0 quadrotor connected to a laptop which runs the software architecture. In order to present a completely visual-based solution the localization problem is simplified by the usage of ArUco visual markers. These visual markers are used to sense and map obstacles and to improve the pose estimation based on the IMU and optical data flow by means of an Extended Kalman Filter localization and mapping method. The presented solution and the performance of the CVG UPM team were awarded with the First Prize in the Indoors Autonomy Challenge of the IMAV2013 competition. [less ▲]

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See detailAn approach toward visual autonomous ship board landing of a VTOL UAV
Sanchez Lopez, Jose Luis UL; Pestana, Jesus; Saripalli, Srikanth et al

in Journal of Intelligent and Robotic Systems (2014), 74(1-2), 113--127

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See detailA general purpose configurable controller for indoors and outdoors gps-denied navigation for multirotor unmanned aerial vehicles
Pestana, Jesus; Mellado-Bataller, Ignacio; Sanchez Lopez, Jose Luis UL et al

in Journal of Intelligent and Robotic Systems (2014), 73(1-4), 387--400

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See detailVisual quadrotor swarm for the IMAV 2013 indoor competition
Sanchez Lopez, Jose Luis UL; Pestana, Jesus; de la Puente, Paloma et al

in ROBOT2013: First Iberian Robotics Conference (2013, November)

Detailed reference viewed: 54 (2 UL)