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Analysis of institutional authors

Anaya, Jose JavierAuthorTalavera, EdgarAuthor

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June 9, 2019
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Motorcycle detection for ADAS through camera and V2V Communication, a comparative analysis of two modern technologies

Publicated to: EXPERT SYSTEMS WITH APPLICATIONS. 77 148-159 - 2017-07-01 77(), DOI: 10.1016/j.eswa.2017.01.032

Authors:

Anaya, JJ; Ponz, A; García, F; Talavera, E
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Affiliations

Inst Automobile Res INSIA, Ctra Valencia Km 7 - Author
Univ Carlos III Madrid, Intelligent Syst Lab, Avda de la Univ 30 - Author

Abstract

Motorcycles are one of the most dangerous means of transportation. Its death toll is higher than in others, due to the inherent vulnerability of motorcycle drivers. The latest strategies in Advanced Driving Assistance Systems (ADAS) are trying to mitigate this problem by applying the advances of modern technologies to the road transport. This paper presents two different approaches on motorcycle protection, based on two of the most modern available technologies in ADAS, i.e. Computer Vision and Vehicle to Vehicle Communication (V2V). The first approach is based on data fusion of Laser Scanner and Computer Vision, providing accurate obstacle detection and localization based on laser scanner, and obstacle classification using computer vision and laser. The second approach is based on ad-hoc V2V technology and provides detection in case of occlusion for visual sensors. Both technologies have been tested in the presented work, and a performance comparison is given. Tests performed in different driving situations allows to measure the performance of every algorithm and the limitations of each of them based on empirical and scientific foundations. The conclusions of the presented work help foster of expert systems in the automotive sector by providing further discussion of the viability and impact from each of these systems in real scenarios. (C) 2017 Elsevier Ltd. All rights reserved.
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Keywords

AdasComputer visionData fusionImage trackingPedestrian detectionSystemV2vVehicle detectionVision

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal EXPERT SYSTEMS WITH APPLICATIONS due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2017, it was in position 8/84, thus managing to position itself as a Q1 (Primer Cuartil), in the category Operations Research & Management Science. Notably, the journal is positioned above the 90th percentile.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-25:

  • WoS: 15
  • Scopus: 22
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-25:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 101 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/44792/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 513
  • Downloads: 1,377
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (ANAYA CATALAN, JOSE JAVIER) and Last Author (TALAVERA MUÑOZ, EDGAR).

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Awards linked to the item

This work was supported by the Spanish Government through the CICYT projects (TRA2013-48314-C3-1-R, TRA2015-63708-R and TRA2016-78886-C3-1-R), and CAM through SEGVAUTO-TRIES (S2013/MIT-2713).
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