Carlos Fernandez-Laguia

Carlos Fernandez-Laguia

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Experienced Software Engineer with a demonstrated history of leading software projects…

Experiencia

Educación

Licencias y certificaciones

Publicaciones

  • Wireless digital traffic signs of the future

    IET Networks

    Traffic signs have come a long way since the first automobile was invented. They have long served the purpose of warning and guiding drivers and also enforcing the traffic laws governing speed, parking, turns, and stopping. In this study, the authors discuss the issues and challenges facing current traffic signs, and how it will evolve into a next-generation traffic sign architecture using advanced wireless communications technologies. With technological advances in the areas of wireless…

    Traffic signs have come a long way since the first automobile was invented. They have long served the purpose of warning and guiding drivers and also enforcing the traffic laws governing speed, parking, turns, and stopping. In this study, the authors discuss the issues and challenges facing current traffic signs, and how it will evolve into a next-generation traffic sign architecture using advanced wireless communications technologies. With technological advances in the areas of wireless communications and embedded electronics and software, we foresee that, in the future, digital traffic sign posts will be capable of transmitting the traffic sign information wirelessly to road users, and this will transform our roads into intelligent roads, where signs will appear promptly and automatically on in-vehicle displays to alert the driver. There is no longer the need to watch out for traffic signs since the detection will be automatic and performed wirelessly. This transformation will lessen burden on the drivers, so that they can then focus more on the traffic ahead while driving. Also, this evolution into wireless digital sign posts will fit well with the vision of future smart cities, where smart transportation technologies will be present to transform how we drive and commute, yielding greater safety, ease, and assistance to drivers.

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  • Experimental Evaluation of a Low-Cost Digital Sign-Posts Architecture for ITS Applications

    Ad-hoc, Mobile, and Wireless Networks: 15th International Conference, ADHOC-NOW 2016, Lille, France, July 4-6, 2016, Proceedings

    Integrating road signs information is becoming a critical goal for Intelligent Transportation Systems (ITS). Unlike other driving automation features, this capacity requires not only the vehicle, but also posts and infrastructure to be adapted thus involving an investment that can only be justified by a substantial number of users. In this paper we describe an architecture that aims to facilitate the introduction and deployment of this technology based on low cost devices as the digital…

    Integrating road signs information is becoming a critical goal for Intelligent Transportation Systems (ITS). Unlike other driving automation features, this capacity requires not only the vehicle, but also posts and infrastructure to be adapted thus involving an investment that can only be justified by a substantial number of users. In this paper we describe an architecture that aims to facilitate the introduction and deployment of this technology based on low cost devices as the digital sign-posts and the integration of smartphones as an alternative in-vehicle user-interface. Wireless communications based on IEEE 802.11 is used for the basic connectivity requirements. From the results obtained through an experimental evaluation, we show that, despite the smartphone constraints, we can achieve successful detection and recognition experiences at up to 90 km/h. Ultimately the experiment described confirms that the use of smartphones represents an opportunity to expand wireless technology in the traffic sign digitization area.

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Reconocimientos y premios

  • 2010 Confucius Institute Scholarship Winner

    汉办

    Academic semester at Nanjing University (南京大学)

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  • English

    Competencia profesional completa

  • Spanish

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  • German

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  • Chinese

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