Soon, ‘intelligent car’ that alerts drivers in case of accident hazard

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Soon, ‘intelligent car’ that alerts drivers in case of accident hazard

An international team of scientists has developed a novel system that detects “unusual behaviours” in drivers before a curve or an obstacle on the road and generates signals of alarm to warn of an accident risk.

The so-called DRIVSCO system allows vehicles to learn from the behaviour of their drivers at the wheel.

The research team led by professor Eduardo Ros Vidal from Department of Computer Architecture and Technology of the University of Granada (Spain) has developed a system of artificial vision (analysis of the scenario) in an only chip.

Such device receives input pictures and produces a first “interpretation of the scenario” in terms of depth (3D vision), local movement, image lines, etc, everything in an only electronic chip.

This system can be assembled in different types of vehicles in future. In addition, they have used a “reconfigurable hardware”, so that the system can adapt itself to new field of application.

During night driving, if the vehicle detects a deviation in his way of driving in face of a curve, it interprets that it is due the lack of visibility of the driver.

Therefore, it generates signals of alarm to warn the driver of his “unusual behaviour when approaching a curve”, or the detection of a potentially dangerous object, for instance.

Ros said that with this project “we do not intend to develop automatic driving systems (as it would be very difficult for insurance agencies and car companies to come to an agreement in the event of a crash), but advanced driving assistance systems”.

DRIVSCO’s final goal is to avoid car accidents and contribute to keep drivers alert, focusing their attention to the maximum.
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Soon, ‘intelligent car’ that alerts drivers in case of accident hazard

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Soon, \’intelligent car\’ that alerts drivers in case of accident hazard

An international team of scientists has developed a novel system that detects unusual behaviours in drivers before a curve or an obstacle on the road and generates signals of alarm to warn of an accident risk.

The so-called DRIVSCO system allows vehicles to learn from the behaviour of their drivers at the wheel.

The research team led by professor Eduardo Ros Vidal from Department of Computer Architecture and Technology of the University of Granada (Spain) has developed a system of artificial vision (analysis of the scenario) in an only chip.

Such device receives input pictures and produces a first interpretation of the scenario in terms of depth (3D vision), local movement, image lines, etc, everything in an only electronic chip.

This system can be assembled in different types of vehicles in future. In addition, they have used a reconfigurable hardware, so that the system can adapt itself to new field of application.

During night driving, if the vehicle detects a deviation in his way of driving in face of a curve, it interprets that it is due the lack of visibility of the driver.

Therefore, it generates signals of alarm to warn the driver of his unusual behaviour when approaching a curve, or the detection of a potentially dangerous object, for instance.

Ros said that with this project we do not intend to develop automatic driving systems (as it would be very difficult for insurance agencies and car companies to come to an agreement in the event of a crash), but advanced driving assistance systems.

DRIVSCOs final goal is to avoid car accidents and contribute to keep drivers alert, focusing their attention to the maximum.
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Soon, »intelligent car» that alerts drivers in case of accident hazard

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Soon, \’\’intelligent car\’\’ that alerts drivers in case of accident hazard

An international team of scientists has developed a novel system that detects “unusual behaviours” in drivers before a curve or an obstacle on the road and generates signals of alarm to warn of an accident risk.

The so-called DRIVSCO system allows vehicles to learn from the behaviour of their drivers at the wheel.

The research team led by professor Eduardo Ros Vidal from Department of Computer Architecture and Technology of the University of Granada (Spain) has developed a system of artificial vision (analysis of the scenario) in an only chip.

Such device receives input pictures and produces a first “interpretation of the scenario” in terms of depth (3D vision), local movement, image lines, etc, everything in an only electronic chip.

This system can be assembled in different types of vehicles in future. In addition, they have used a “reconfigurable hardware”, so that the system can adapt itself to new field of application.

During night driving, if the vehicle detects a deviation in his way of driving in face of a curve, it interprets that it is due the lack of visibility of the driver.

Therefore, it generates signals of alarm to warn the driver of his “unusual behaviour when approaching a curve”, or the detection of a potentially dangerous object, for instance.

Ros said that with this project “we do not intend to develop automatic driving systems (as it would be very difficult for insurance agencies and car companies to come to an agreement in the event of a crash), but advanced driving assistance systems”.

DRIVSCO’s final goal is to avoid car accidents and contribute to keep drivers alert, focusing their attention to the maximum.
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Soon, ‘intelligent car’ that alerts drivers in case of accident hazard

Escrito por

Soon, ‘intelligent car’ that alerts drivers in case of accident hazard

An international team of scientists has developed a novel system that detects “unusual behaviours” in drivers before a curve or an obstacle on the road and generates signals of alarm to warn of an accident risk.

The so-called DRIVSCO system allows vehicles to learn from the behaviour of their drivers at the wheel.

The research team led by professor Eduardo Ros Vidal from Department of Computer Architecture and Technology of the University of Granada (Spain) has developed a system of artificial vision (analysis of the scenario) in an only chip.

Such device receives input pictures and produces a first “interpretation of the scenario” in terms of depth (3D vision), local movement, image lines, etc, everything in an only electronic chip.

This system can be assembled in different types of vehicles in future. In addition, they have used a “reconfigurable hardware”, so that the system can adapt itself to new field of application.

During night driving, if the vehicle detects a deviation in his way of driving in face of a curve, it interprets that it is due the lack of visibility of the driver.

Therefore, it generates signals of alarm to warn the driver of his “unusual behaviour when approaching a curve”, or the detection of a potentially dangerous object, for instance.

Ros said that with this project “we do not intend to develop automatic driving systems (as it would be very difficult for insurance agencies and car companies to come to an agreement in the event of a crash), but advanced driving assistance systems”.

DRIVSCO’s final goal is to avoid car accidents and contribute to keep drivers alert, focusing their attention to the maximum.
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Soon, ‘intelligent car’ that alerts drivers in case of accident hazard

Escrito por

Soon, \’intelligent car\’ that alerts drivers in case of accident hazard

An international team of scientists has developed a novel system that detects «unusual behaviours» in drivers before a curve or an obstacle on the road and generates signals of alarm to warn of an accident risk.

The so-called DRIVSCO system allows vehicles to learn from the behaviour of their drivers at the wheel.

The research team led by professor Eduardo Ros Vidal from Department of Computer Architecture and Technology of the University of Granada (Spain) has developed a system of artificial vision (analysis of the scenario) in an only chip.

Such device receives input pictures and produces a first «interpretation of the scenario» in terms of depth (3D vision), local movement, image lines, etc, everything in an only electronic chip.

This system can be assembled in different types of vehicles in future. In addition, they have used a «reconfigurable hardware», so that the system can adapt itself to new field of application.

During night driving, if the vehicle detects a deviation in his way of driving in face of a curve, it interprets that it is due the lack of visibility of the driver.

Therefore, it generates signals of alarm to warn the driver of his «unusual behaviour when approaching a curve», or the detection of a potentially dangerous object, for instance.

Ros said that with this project «we do not intend to develop automatic driving systems (as it would be very difficult for insurance agencies and car companies to come to an agreement in the event of a crash), but advanced driving assistance systems».

DRIVSCO\’s final goal is to avoid car accidents and contribute to keep drivers alert, focusing their attention to the maximum.
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Soon, ‘intelligent car’ that alerts drivers in case of accident hazard

Escrito por

Soon, ‘intelligent car’ that alerts drivers in case of accident hazard

An international team of scientists has developed a novel system that detects “unusual behaviours” in drivers before a curve or an obstacle on the road and generates signals of alarm to warn of an accident risk.

The so-called DRIVSCO system allows vehicles to learn from the behaviour of their drivers at the wheel.

The research team led by professor Eduardo Ros Vidal from Department of Computer Architecture and Technology of the University of Granada (Spain) has developed a system of artificial vision (analysis of the scenario) in an only chip.

Such device receives input pictures and produces a first “interpretation of the scenario” in terms of depth (3D vision), local movement, image lines, etc, everything in an only electronic chip.

This system can be assembled in different types of vehicles in future. In addition, they have used a “reconfigurable hardware”, so that the system can adapt itself to new field of application.

During night driving, if the vehicle detects a deviation in his way of driving in face of a curve, it interprets that it is due the lack of visibility of the driver.

Therefore, it generates signals of alarm to warn the driver of his “unusual behaviour when approaching a curve”, or the detection of a potentially dangerous object, for instance.

Ros said that with this project “we do not intend to develop automatic driving systems (as it would be very difficult for insurance agencies and car companies to come to an agreement in the event of a crash), but advanced driving assistance systems”.

DRIVSCO’s final goal is to avoid car accidents and contribute to keep drivers alert, focusing their attention to the maximum.
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Soon, ‘intelligent car’ that alerts drivers in case of accident hazard

Escrito por

Soon, \’intelligent car\’ that alerts drivers in case of accident hazard

An international team of scientists has developed a novel system that detects «unusual behaviours» in drivers before a curve or an obstacle on the road and generates signals of alarm to warn of an accident risk.

The so-called DRIVSCO system allows vehicles to learn from the behaviour of their drivers at the wheel.

The research team led by professor Eduardo Ros Vidal from Department of Computer Architecture and Technology of the University of Granada (Spain) has developed a system of artificial vision (analysis of the scenario) in an only chip.

Such device receives input pictures and produces a first «interpretation of the scenario» in terms of depth (3D vision), local movement, image lines, etc, everything in an only electronic chip.

This system can be assembled in different types of vehicles in future. In addition, they have used a «reconfigurable hardware», so that the system can adapt itself to new field of application.

During night driving, if the vehicle detects a deviation in his way of driving in face of a curve, it interprets that it is due the lack of visibility of the driver.

Therefore, it generates signals of alarm to warn the driver of his «unusual behaviour when approaching a curve», or the detection of a potentially dangerous object, for instance.

Ros said that with this project «we do not intend to develop automatic driving systems (as it would be very difficult for insurance agencies and car companies to come to an agreement in the event of a crash), but advanced driving assistance systems».

DRIVSCO\’s final goal is to avoid car accidents and contribute to keep drivers alert, focusing their attention to the maximum.
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Soon, ‘intelligent car’ that alerts drivers in case of accident hazard

Escrito por

Soon, \’intelligent car\’ that alerts drivers in case of accident hazard

An international team of scientists has developed a novel system that detects «unusual behaviours» in drivers before a curve or an obstacle on the road and generates signals of alarm to warn of an accident risk.

The so-called DRIVSCO system allows vehicles to learn from the behaviour of their drivers at the wheel.

The research team led by professor Eduardo Ros Vidal from Department of Computer Architecture and Technology of the University of Granada (Spain) has developed a system of artificial vision (analysis of the scenario) in an only chip.

Such device receives input pictures and produces a first «interpretation of the scenario» in terms of depth (3D vision), local movement, image lines, etc, everything in an only electronic chip.

This system can be assembled in different types of vehicles in future. In addition, they have used a «reconfigurable hardware», so that the system can adapt itself to new field of application.

During night driving, if the vehicle detects a deviation in his way of driving in face of a curve, it interprets that it is due the lack of visibility of the driver.

Therefore, it generates signals of alarm to warn the driver of his «unusual behaviour when approaching a curve», or the detection of a potentially dangerous object, for instance.

Ros said that with this project «we do not intend to develop automatic driving systems (as it would be very difficult for insurance agencies and car companies to come to an agreement in the event of a crash), but advanced driving assistance systems».

DRIVSCO\’s final goal is to avoid car accidents and contribute to keep drivers alert, focusing their attention to the maximum.
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A car that alerts drivers in case of accident hazard

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A car that alerts drivers in case of accident hazard

The research team led by professor Eduardo Ros Vidal from Department of Computer Architecture and Technology of the University of Granada (Spain) has developed a system of artificial vision (analysis of the scenario) in an only chip.

An international team of scientists has developed a novel system that detects “unusual behaviours” in drivers before a curve or an obstacle on the road and generates signals of alarm to warn of an accident risk.

The so-called DRIVSCO system allows vehicles to learn from the behaviour of their drivers at the wheel.

The research team led by professor Eduardo Ros Vidal from Department of Computer Architecture and Technology of the University of Granada (Spain) has developed a system of artificial vision (analysis of the scenario) in an only chip.

Such device receives input pictures and produces a first “interpretation of the scenario” in terms of depth (3D vision), local movement, image lines, etc, everything in an only electronic chip.

This system can be assembled in different types of vehicles in future. In addition, they have used a “reconfigurable hardware”, so that the system can adapt itself to new field of application.

During night driving, if the vehicle detects a deviation in his way of driving in face of a curve, it interprets that it is due the lack of visibility of the driver.

Therefore, it generates signals of alarm to warn the driver of his “unusual behaviour when approaching a curve”, or the detection of a potentially dangerous object, for instance.

Ros said that with this project “we do not intend to develop automatic driving systems (as it would be very difficult for insurance agencies and car companies to come to an agreement in the event of a crash), but advanced driving assistance systems”.

DRIVSCO’s final goal is to avoid car accidents and contribute to keep drivers alert, focusing their attention to the maximum.
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DRIVSCO ‘learning vehicles’ alert their drivers to dangers

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DRIVSCO ‘learning vehicles’ alert their drivers to dangers

Scientists from six European countries have collaborated to develop a new computer system that enables vehicles to recognize their drivers’ normal behavior and therefore avoid accidents caused by unusual behavior. The DRIVSCO system detects the anomalies, often caused by inattention or poor visibility, and signals an alarm that warns drivers to beware early enough to give them time to react.

The researchers say DRIVSCO goes far beyond a computer vision system for driving assistance, like thermal imaging, as used in other similar concepts. This system relies on the car ‘learning’ a driver’s typical approach to a corner, curve, intersection or obstacle, regardless of their driving style (sporty or conservative) and applying that knowledge to every driving situation.

For instance, during night driving, if the vehicle detects a deviation in the driver’s normal behavior when approaching a curve, it interprets this being due to a lack of visibility (as the driver has a limited visibility from his low beam headlights, whereas the car’s night vision system is much more powerful and has a longer range). Therefore, the vehicle generates alarms to warn the driver of his ‘unusual behavior when approaching the curve’.

Accidents at night
The scientists responsible for the project’s findings state that 42 percent of fatal traffic accidents happen at night, according to the data of the European Car Council, “an extremely worrying figure if we consider that traffic drops about a 60 percent during night hours.” This is due, among other factors, to the reduced visibility during night driving.

The research group of the University of Granada has developed a system of artificial vision (analysis of the scenario) in a single chip. The device receives input pictures and produces a first “interpretation of the scenario” in terms of depth (3D vision), local movement, image lines, etc. Scientists say their system can be applied to different types of vehicles in the future and it is hoped that by using ‘reconfigurable hardware’, the system can adapt itself to new applications.

Promising results
During the trials, a group of drivers drove using the DRIVSCO system so that the car could learn from their driving style. The car also had a differential GPS incorporated (with several centimeters of precision), which gave accurate readings of wheel turns, braking, etc, so that the researchers could check in great detail the style of driving in every case, and the performance of the system. The first tests have offered promising results and proved the usefulness of the new concept.

University of Grenada’s Prof Eduardo Ros Vidal says: “we do not intend to develop automatic driving systems (as it would be very difficult for insurance agencies and car companies to come to an agreement in the event of a crash), but advanced driving assistance systems.”

DRIVSCO’s final goal is to avoid car accidents by keeping drivers alert.
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La presentación del proyecto Granadaempleo en Baza reúne a empresarios y agentes sociales en torno al desarrollo sostenible de la comarca

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La presentación del proyecto Granadaempleo en Baza reúne a empresarios y agentes sociales en torno al desarrollo sostenible de la comarca

Ante representantes de los empresarios de la comarca, técnicos, formadores, concejales y alcaldes de la zona, el vicepresidente 2º de la Diputación de Granada y delegado de Promoción Económica, Julio Bernardo, presentó esta mañana en Baza el proyecto Granadaempleo con el que, durante los dos próximos años, se invertirán esfuerzos y dinero para conseguir desarrollar la comarca y dinamizar todas sus posibilidades económicas. En este sentido, y durante el acto de inauguración del primer encuentro en el marco de este programa, el alcalde de la localidad, Pedro Fernández, aseguró que, con compromisos como éste, “nos estamos jugando el desarrollo de la comarca y el asentamiento de nuestra población”.

El proyecto Granadaempleo, financiado por el Fondo Social Europeo y desarrollado por el Área de Cultura, Juventud y Cooperación Local de la Diputación de Granada, implica a más de treinta asociaciones de la provincia y administraciones entre las que se encuentra la Junta de Andalucía, la Universidad de Granada y las cámaras de comercio provinciales, con las que se han diseñado 643 itinerarios de inserción laboral con un compromiso de empleo del 80% lo que creará más de 700 puestos de trabajo en toda la provincia.

Julio Bernardo, destacó en la presentación de este seminario la importancia de este proyecto en el que están implicados todos los agentes sociales que intervienen en un territorio, desde los dinamizadores culturales hasta los empresarios, sin olvidar a los responsables institucionales. “En los próximos dos años, desde la Diputación trabajaremos en esta comarca para sentar las bases de un desarrollo sostenible que nos permitan conocer y poner en valor las potencialidades de desarrollo de la zona y establecer un Pacto Territorial por el empleo”, señaló Bernardo.

Son, precisamente, los Pactos Territoriales por el empleo que pretenden firmarse en cada comarca de la provincia uno de los objetivos de este proyecto, un total de 14 acuerdos de carácter supramunicipal que contará con dos comisiones de trabajo, una política donde estarán representadas las instituciones, y otra técnica integrada por profesionales. Ambas evaluarán y diagnosticarán las necesidades de cada territorio, para posteriormente “consensuar las estrategias de actuaciones más convenientes en cada zona”, señaló el diputado.

En total Granadaempleo supondrá una inversión de nueve millones de euros en actuaciones que tendrán lugar entre 2009 y 2011.
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300 metros cuadrados para encontrar a Lorca

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300 metros cuadrados para encontrar a Lorca

Los técnicos del Instituto Andaluz de Geofísica han delimitado y acotado unos trescientos metros cuadrados de terreno en la zona en la que se supone que se encuentra la fosa común donde yace Federico García Lorca junto a otros fusilados de la Guerra Civil y donde se prevé trabajar hasta el próximo jueves.

Así lo ha explicado el vicepresidente de la Asociación para la Recuperación de la Memoria Histórica de Granada, Rafael Gil Bracero, que se ha desplazado hasta esa zona de Alfacar para conocer los trabajos que desarrollan cuatro investigadores dependientes de la Universidad de Granada (UGR).

Según Gil Bracero, las tareas, que comenzaron ayer y que podrían prolongarse hasta el próximo jueves, se centran en «peinar» con el uso de georradares una superficie aproximada de unos trescientos metros cuadrados, que han sido divididas en cuadrículas donde se supone que se encontrarían enterrados los cadáveres.

Aunque esta tecnología no permite la localización de restos óseos, sí detecta las áreas en las que se ha producido lo que los técnicos denominan «intervención antrópica», es decir que ha habido movimientos de terreno, con diferentes perfiles de sustrato y relieves, no necesariamente relacionadas con fenómenos naturales.

Contrato de confidencialidad
El entorno, que es además vigilado por personal de seguridad privada, será vallado en las próximas horas para garantizar el correcto desarrollo de los trabajos, ha explicado Gil Bracero.

Estos trabajos están siendo llevados a cabo por profesionales del Instituto Andaluz de Geofísica, cuyo director, Jesús Ibáñez, ha eludido pronunciarse sobre el desarrollo de los mismos, al explicarque mantienen un contrato de confidencialidad con la Junta de Andalucía, promotora de la actuación.

El inicio ayer de los trabajos preliminares a la próxima apertura de la fosa de Alfacar coincide con la publicación en el Boletín Oficial de la Junta de Andalucía (BOJA) de la resolución por la que se decretó la ampliación en diez días hábiles del plazo de alegaciones para la exhumación del enterramiento común.

Esta ampliación temporal se produjo después de que la familia Lorca solicitara la ampliación para examinar el expediente administrativo y concretar su pronunciamiento al respecto.

Petición de familiares
Por su parte, Manuel Fernández-Montesinos, sobrino de Federico García Lorca, ha explicado que la familia acaba de recibir la documentación que le requirió a la Junta y que aún no han decidido cuándo se reunirán para tomar una decisión.

No obstante, ha añadido, van «a apurar» los plazos establecidos, que concluyen el próximo día 1 de octubre, y una vez que tomen una decisión al respecto, la harán pública.

La intervención de la Junta en el proceso se inició a raíz de la petición cursada por los familiares de tres de los fusilados que supuestamente yacen en la misma fosa común que el poeta, cuyos descendientes, por contra, no son partidarios de la exhumación.

Se trata del maestro republicano Dióscoro Galindo -cuya exhumación no será finalmente atendida por la Junta al existir opiniones contrarias en el seno de la misma familia- y de los banderilleros Francisco Galadí y Joaquín Arcollas.

Según se ha conocido en los últimas semanas, junto a ellos también estarían enterrados el inspector municipal de tributos Fermín Roldán y el restaurador granadino Miguel Cobo Vilches, cuyas familias se han sumado a la petición de apertura de la fosa.
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