Oasis: Uso de escáneres láser en infraestructuras ITS para modelización del tráfico

Detectar, predecir y gestionar el tráfico a lo largo de una autopista con herramientas inteligentes lo más automatizadas posibles y con el fin de obtener un tráfico uniforme, es uno de los principales objetivos del proyecto CENIT OASIS (Operación de autopistas seguras inteligentes y sostenibles). Dentro del ámbito de la movilidad, es fundamental establecer un modelo de sensorización óptimo que extraiga la máxima información y de la mayor calidad posible. Para ello, la visión artificial se propone como solución en numerosas aplicaciones de tráfico mediante la utilización de cámaras de vídeo y algoritmos específicos, sin embargo a pesar de su extendida implantación presenta ciertas limitaciones. La combinación de las tecnologías de visión artificial con sensores basados en tecnología LIDAR puede paliar parte de dichas limitaciones y permitir el desarrollo de un sistema mixto robusto y preciso. Desde OASIS se plantea una solución híbrida, complementaria, basada en la fusión de técnicas de visión artificial y tecnologías LIDAR para la detección y monitorización de tráfico a nivel microscópico de tráfic

Propuestas gis enfocadas a la mejora en los procesos de revisión de postes de la línea de teléfono y a geomarketing

Las prácticas desarrolladas durante los dos meses han significado la continuidad o mejora de la línea de teléfono para un gran número de entidades de población, de las provincias de León, Za-mora y Salamanca mediante la utilización de GPS y posterior tratamiento de los datos recogidos en campo. Mediante varios software GIS y diferentes herramientas, se van a realizar una serie de propuestas que tratan de establecer una metodología de revisión en base al estudio previo de diferentes casuísticas con el fin de conseguir un ahorro de costes y de tiempo, así mismo, se realizará un análisis de geomarketing mediante el cual un empresario, gracias a la observación de un mapa, comprenderá donde podrá establecer un futuro negocio

Multisensor data fusion for accurate modelling of mobile objects

In the last decade, multi-sensor data fusion has become a broadly demanded discipline to achieve advanced solutions that can be applied in many real world situations, either civil or military. In Defence,accurate detection of all target objects is fundamental to maintaining situational awareness, to locating threats in the battlefield and to identifying and protecting strategically own forces. Civil applications, such as traffic monitoring, have similar requirements in terms of object detection and reliable identification of incidents in order to ensure safety of road users. Thanks to the appropriate data fusion technique, we can give these systems the power to exploit automatically all relevant information from multiple sources to face for instance mission needs or assess daily supervision operations. This paper focuses on its application to active vehicle monitoring in a particular area of high density traffic, and how it is redirecting the research activities being carried out in the computer vision, signal processing and machine learning fields for improving the effectiveness of detection and tracking in ground surveillance scenarios in general. Specifically, our system proposes fusion of data at a feature level which is extracted from a video camera and a laser scanner. In addition, a stochastic-based tracking which introduces some particle filters into the model to deal with uncertainty due to occlusions and improve the previous detection output is presented in this paper. It has been shown that this computer vision tracker contributes to detect objects even under poor visual information. Finally, in the same way that humans are able to analyze both temporal and spatial relations among items in the scene to associate them a meaning, once the targets objects have been correctly detected and tracked, it is desired that machines can provide a trustworthy description of what is happening in the scene under surveillance. Accomplishing so ambitious task requires a machine learning-based hierarchic architecture able to extract and analyse behaviours at different abstraction levels. A real experimental testbed has been implemented for the evaluation of the proposed modular system. Such scenario is a closed circuit where real traffic situations can be simulated. First results have shown the strength of the proposed system

The post-pandemic inflationary episode in advanced economies: a historical perspective

Rationale Inflation surged in the world economy from 2021 owing to a succession of shocks, including most notably the rise in energy prices. However, it appears to have peaked in many countries over the past few months, marking the start of a declining phase. This article analyses, for a group of advanced economies, the features of the current inflationary process vis-à-vis other past episodes, paying special attention to those triggered by energy shocks. Takeaways •The post-pandemic surge in inflation has occurred faster than in previous inflationary periods. However, the scale of the rising inflation in the current episode is similar to that of past episodes arising from energy price increases. •According to the historical pattern, underlying inflation reaches its peak very near the time headline inflation does. However, in the current inflationary process there is a lag of around six months and underlying inflation is more persistent. •The synchronisation between countries regarding inflation is greater in inflationary processes caused by energy price shocks and is stronger in the current episode than in the past owing to the confluence of several global shocks

Surgical anatomy and technique for the treatment of Dubberley type 1, 2 and 3 capitellar fractures via a limited anterior approach to the elbow

Coronal plane fractures of the elbow can affect the capitellum, the trochlea (or a combination of the two), the radial head and the coronoid processes.The Kocher lateral approach is the most commonly used for open reduction of this type of fractures, although an arthroscopic technique has been used in some cases. When the fracture extends to the trochlea, the Kocher lateral approach may be inadequate for the correct visualisation, reduction and fixation of the fracture. In such cases an associated medial elbow approach may be required, or a posterior transolecranon approach may be preferred. We think that the limited anterior approach to the elbow could be a valid option when treating these types of fractures, as it does not involve the de-insertion of any muscle group or ligament, thereby facilitating the recovery process. In cases involving trochlear fracture (which may or may not be dissociated) the approach can be extended medially. We can also treat associated injuries such as fractures of the radial head or coronoid process with this approach. In the present study we describe the dissection of the medial and lateral cubital fossa of the elbow in extension in 4 specimens, paying attention to the neurovascular structures of the area. We also describe the surgical technique for the limited approach to the medial and lateral cubital fossa. We demonstrate the accessibility via the cubital fossa to the capitellum, trochlea, radial head, and coronoid process