Analytic free-form lens design for tracking integration in concentrating photovoltaics

In this work the concept of tracking integration in concentrating photovoltaics (CPV) is revisited and developed further. With respect to conventional CPV, tracking integration eliminates the clear separation between stationary units of optics and solar cells, and external solar trackers. This approach is capable of further increasing the concentration ratio and makes high concentrating photovoltaics (> 500x) available for single-axis tracker installations. The reduced external solar tracking effort enables possibly cheaper and more compact installations. Our proposed optical system uses two laterally moving plano-convex lenses to achieve high concentration over a wide angular range of ±24°. The lateral movement allows to combine both steering and concentration of the incident direct sun light. Given the specific symmetry conditions of the underlying optical design problem, rotational symmetric lenses are not ideal for this application. For this type of design problems, a new free-form optics design method presented in previous papers perfectly matches the symmetry. It is derived directly from Fermat's principle, leading to sets of functional differential equations allowing the successive calculation of the Taylor series coeficients of each implicit surface function up to very high orders. For optical systems designed for wide field of view and with clearly separated optical surfaces, this new analytic design method has potential application in both fields of nonimaging and imaging optics.

Visual Tracking, Pose Estimation, and Control for Aerial Vehicles

El principal objetivo de esta tesis es dotar a los vehículos aéreos no tripulados (UAVs, por sus siglas en inglés) de una fuente de información adicional basada en visión. Esta fuente de información proviene de cámaras ubicadas a bordo de los vehículos o en el suelo. Con ella se busca que los UAVs realicen tareas de aterrizaje o inspección guiados por visión, especialmente en aquellas situaciones en las que no haya disponibilidad de estimar la posición del vehículo con base en GPS, cuando las estimaciones de GPS no tengan la suficiente precisión requerida por las tareas a realizar, o cuando restricciones de carga de pago impidan añadir sensores a bordo de los vehículos. Esta tesis trata con tres de las principales áreas de la visión por computador: seguimiento visual y estimación visual de la pose (posición y orientación), que a su vez constituyen la base de la tercera, denominada control servo visual, que en nuestra aplicación se enfoca en el empleo de información visual para controlar los UAVs. Al respecto, esta tesis se ocupa de presentar propuestas novedosas que permitan solucionar problemas relativos al seguimiento de objetos mediante cámaras ubicadas a bordo de los UAVs, se ocupa de la estimación de la pose de los UAVs basada en información visual obtenida por cámaras ubicadas en el suelo o a bordo, y también se ocupa de la aplicación de las técnicas propuestas para solucionar diferentes problemas, como aquellos concernientes al seguimiento visual para tareas de reabastecimiento autónomo en vuelo o al aterrizaje basado en visión, entre otros. Las diversas técnicas de visión por computador presentadas en esta tesis se proponen con el fin de solucionar dificultades que suelen presentarse cuando se realizan tareas basadas en visión con UAVs, como las relativas a la obtención, en tiempo real, de estimaciones robustas, o como problemas generados por vibraciones. Los algoritmos propuestos en esta tesis han sido probados con información de imágenes reales obtenidas realizando pruebas on-line y off-line. Diversos mecanismos de evaluación han sido empleados con el propósito de analizar el desempeño de los algoritmos propuestos, entre los que se incluyen datos simulados, imágenes de vuelos reales, estimaciones precisas de posición empleando el sistema VICON y comparaciones con algoritmos del estado del arte. Los resultados obtenidos indican que los algoritmos de visión por computador propuestos tienen un desempeño que es comparable e incluso mejor al de algoritmos que se encuentran en el estado del arte. Los algoritmos propuestos permiten la obtención de estimaciones robustas en tiempo real, lo cual permite su uso en tareas de control visual. El desempeño de estos algoritmos es apropiado para las exigencias de las distintas aplicaciones examinadas: reabastecimiento autónomo en vuelo, aterrizaje y estimación del estado del UAV. Abstract The main objective of this thesis is to provide Unmanned Aerial Vehicles (UAVs) with an additional vision-based source of information extracted by cameras located either on-board or on the ground, in order to allow UAVs to develop visually guided tasks, such as landing or inspection, especially in situations where GPS information is not available, where GPS-based position estimation is not accurate enough for the task to develop, or where payload restrictions do not allow the incorporation of additional sensors on-board. This thesis covers three of the main computer vision areas: visual tracking and visual pose estimation, which are the bases the third one called visual servoing, which, in this work, focuses on using visual information to control UAVs. In this sense, the thesis focuses on presenting novel solutions for solving the tracking problem of objects when using cameras on-board UAVs, on estimating the pose of the UAVs based on the visual information collected by cameras located either on the ground or on-board, and also focuses on applying these proposed techniques for solving different problems, such as visual tracking for aerial refuelling or vision-based landing, among others. The different computer vision techniques presented in this thesis are proposed to solve some of the frequently problems found when addressing vision-based tasks in UAVs, such as obtaining robust vision-based estimations at real-time frame rates, and problems caused by vibrations, or 3D motion. All the proposed algorithms have been tested with real-image data in on-line and off-line tests. Different evaluation mechanisms have been used to analyze the performance of the proposed algorithms, such as simulated data, images from real-flight tests, publicly available datasets, manually generated ground truth data, accurate position estimations using a VICON system and a robotic cell, and comparison with state of the art algorithms. Results show that the proposed computer vision algorithms obtain performances that are comparable to, or even better than, state of the art algorithms, obtaining robust estimations at real-time frame rates. This proves that the proposed techniques are fast enough for vision-based control tasks. Therefore, the performance of the proposed vision algorithms has shown to be of a standard appropriate to the different explored applications: aerial refuelling and landing, and state estimation. It is noteworthy that they have low computational overheads for vision systems.

Detection and Tracking of Dynamic Objects. A MultiRobot approach to Critical Infrastructures Surveillance.

Despite that Critical Infrastructures (CIs) security and surveillance are a growing concern for many countries and companies, Multi Robot Systems (MRSs) have not been yet broadly used in this type of facilities. This dissertation presents a novel study of the challenges arisen by the implementation of this type of systems and proposes solutions to specific problems. First, a comprehensive analysis of different types of CIs has been carried out, emphasizing the influence of the different characteristics of the facilities in the design of a security and surveillance MRS. One of the most important needs for the surveillance of a CI is the detection of intruders. From a technical point of view this problem can be abstracted as equivalent to the Detection and Tracking of Mobile Objects (DATMO). This dissertation proposes algorithms to solve this specific problem in a CI environment. Using 3D range images of the environment as input data, two detection algorithms for ground robots have been developed. These detection algorithms provide a list of moving objects in the robot detection area. Direct image differentiation and computer vision techniques are used when the robot is static. Alternatively, multi-layer ground reconstructions are compared to detect the dynamic objects when the robot is moving. Since CIs usually spread over large areas, it is very useful to incorporate aerial vehicles in the surveillance MRS. Therefore, a moving object detection algorithm for aerial vehicles has been also developed. This algorithm compares the real optical flow obtained from a down-face oriented camera with an artificial optical flow computed using a RANSAC based homography matrix. Two tracking algorithms have been developed to follow the moving objects trajectories. These algorithms can efficiently handle occlusions and crossings, as well as exchange information among robots. The multirobot tracking can be applied to any type of communication structure: centralized, decentralized or a combination of both. Even more, the developed tracking algorithms are independent of the detection algorithms and could be potentially used with other detection procedures or even with static sensors, such as cameras. In addition, using the 3D point clouds available to the robots, a relative localization algorithm has been developed to improve the position estimation of a given robot with observations from other robots. All the developed algorithms have been extensively tested in different simulated CIs using the Webots robotics simulator. Furthermore, the algorithms have also been validated with real robots operating in real scenarios. In conclusion, this dissertation presents a multirobot approach to Critical Infrastructure Surveillance, mainly focusing on Detecting and Tracking Dynamic Objects.

System supporting public transport based on geolocation

El propósito de este proyecto de fin de Grado es el estudio y desarrollo de una aplicación basada en Android que proporcionará soporte y atención a los servicios de transporte público existentes en Cracovia, Polonia. La principal funcionalidad del sistema será consultar la posición de un determinado autobús o tranvía y mostrar su ubicación con exactitud. Para lograr esto, necesitaremos tres fases de desarrollo. En primer lugar, deberemos implementar un sistema que obtenga las coordenadas geográficas de los vehículos de transporte público en cada instante. A continuación, tendremos que registrar todos estos datos y almacenarlos en una base de datos en un servidor web. Por último, desarrollaremos un sistema cliente que realice consultas a tiempo real sobre estos datos almacenados, obteniendo la posición para una línea determinada y mostrando su ubicación con un marcador en el mapa. Para hacer el seguimiento de los vehículos, sería necesario tener acceso a una API pública que nos proporcionase la posición registrada por los GPS que integran cada uno de ellos. Como esta API no existe actualmente para los servicios de autobús, y para los tranvías es de uso meramente privado, desarrollaremos una segunda aplicación en Android que hará las funciones del lado servidor. En ella podremos elegir mediante una simple interfaz el número de línea y un código específico que identificará a cada vehículo en particular (e.g. podemos tener 6 tranvías recorriendo la red al mismo tiempo para la línea 24). Esta aplicación obtendrá las coordenadas geográficas del teléfono móvil, lo cual incluye latitud, longitud y orientación a través del proveedor GPS. De este modo, podremos realizar una simulación de como el sistema funcionará a tiempo real utilizando la aplicación servidora desde dentro de un tranvía o autobús y, al mismo tiempo, utilizando la aplicación cliente haciendo peticiones para mostrar la información de dicho tranvía. El cliente, además, podrá consultar la ruta de cualquier línea sin necesidad de tener acceso a Internet. Almacenaremos las rutas y paradas de cada línea en la memoria del teléfono móvil utilizando ficheros XML debido al poco espacio que ocupan y a lo útil que resulta poder consultar un trayecto en cualquier momento, independientemente del acceso a la red. El usuario también podrá consultar las tablas de horarios oficiales para cada línea. Aunque en este caso si será necesaria una conexión a Internet debido a que se realizará a través de la web oficial de MPK. Para almacenar todas las coordenadas de cada vehículo en cada instante necesitaremos crear una base de datos en un servidor. Esto se resolverá mediante el uso de MYSQL y PHP. Se enviarán peticiones de tipo GET y POST a los servicios PHP que se encargarán de traducir y realizar la consulta correspondiente a la base de datos MYSQL. Por último, gracias a todos los datos recogidos relativos a la posición de los vehículos de transporte público, podremos realizar algunas tareas de análisis. Comparando la hora exacta a la que los vehículos pasaron por cada parada y la hora a la que deberían haber pasado según los horarios oficiales, podremos descubrir fallos en estos. Seremos capaces de determinar si es un error puntual debido a factores externos (atascos, averías,…) o si por el contrario, es algo que ocurre muy a menudo y se debería corregir el horario oficial. ABSTRACT The aim of this final Project (for University) is to develop an Android application thatwill provide support and feedback to the public transport services in Krakow. The main functionality of the system will be to track the position of a desired bus or tram line, and display its position on the map. To achieve this, we will need 3 stages: the first one will be to implement a system that sends the geographical position of the public transport vehicles, the second one will be to collect this data in a web server, and the last one will be to get the last location registered for the desired line and display it on the map. For tracking the vehicles, we would need to have access to a public API that should be connected with each bus/tram GPS. As this doesn’t exist in Krakow or at least is not available for public use, we will develop a second android application that will do the server side job. We will be able to choose in a simple interface the line number and a code letter to identify each vehicle (e.g. we can have 6 trams that belong to the line number 24 working at the same time). It will take the current mobile geolocation; this includes getting latitude, longitude and bearing from the GPS provider. Thus, we will be able to make a simulation of how the system works in real time by using the server app inside a tram and at the same time, using the client app and making requests to display the information of that tram. The client will also be able to check the path of the desired line without internet access. We will store the path and stops for each line locally in the phone memory using xml files due to the few requirements of available space it needs and the usefulness of checking a path when needed. This app will also offer the functionality of checking the timetable for the line, but in this case, it will link to the official Mpk website, so Internet access will be required. For storing all the coordinates for each vehicle at every moment we will need to create a database on a server. We have decided that the easiest way is to use Mysql and PHP for the deployment of the service. We will send GET and POST requests to the php files and those files will make the according queries to our database. Finally, based on all the collected data, we will be able to get some information about errors in the system of public transport timetables. We will check at what time a line was in each specific stop and compare it with the official timetable to find mistakes of time. We will determine if it is something that happens occasionally and related to external factors (e.g. traffic jams, breakdowns…) or if on the other hand, it is something that happens very often and the public transport timetables should be looked over and corrected.

An Inexpensive Method for Kinematic Calibration of a Parallel Robot by Using One Hand-Held Camera as Main Sensor

This paper presents a novel method for the calibration of a parallel robot, which allows a more accurate configuration instead of a configuration based on nominal parameters. It is used, as the main sensor with one camera installed in the robot hand that determines the relative position of the robot with respect to a spherical object fixed in the working area of the robot. The positions of the end effector are related to the incremental positions of resolvers of the robot motors. A kinematic model of the robot is used to find a new group of parameters, which minimizes errors in the kinematic equations. Additionally, properties of the spherical object and intrinsic camera parameters are utilized to model the projection of the object in the image and thereby improve spatial measurements. Finally, several working tests, static and tracking tests are executed in order to verify how the robotic system behaviour improves by using calibrated parameters against nominal parameters. In order to emphasize that, this proposed new method uses neither external nor expensive sensor. That is why new robots are useful in teaching and research activities.

Experimental confirmation of FK concentrator insensitivity to chromatic aberrations

The FK concentrator has demonstrated during the last years that compares very well with other Fresnel-based concentrator optics for CPV. There are several features that provide the FK high performance: (1) high optical efficiency; (2) large tolerance to tracking misalignment and manufacturing errors, thanks to a high CAP (Concentration-Acceptance Product); (3) good irradiance uniformity and low chromatic dispersion on the cell surface. Non-uniformities in terms of absolute irradiance and spectral content produced by conventional CPV systems can originate electrical losses in multi-junction (MJ) solar cells. The aim of this work is to analyze the influence of these non-uniformities in the FK concentrator performance and how FK concentrator provides high electrical efficiencies thanks to its insensitivity to chromatic aberrations, especially when components move away from the module nominal position due to manufacturing misalignments. This analysis has been done here by means of both, experimental on-sun measurements and simulations based on 3D fully distributed circuit model for MJ cells.