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Analysis of institutional authors

Carrio, AdrianCorresponding AuthorFu, ChanghongAuthorCampoy, PascualAuthor

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June 9, 2019
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SIGS: Synthetic Imagery Generating Software for the Development and Evaluation of Vision-based Sense-And-Avoid Systems

Publicated to: JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS. 84 (1-4): 559-574 - 2016-12-01 84(1-4), DOI: 10.1007/s10846-015-0286-z

Authors:

Carrio, A; Fu, CH; Collumeau, JF; Campoy, P
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Affiliations

Delft Univ Technol TU Delft, Inst Robot, Mekelweg 2, NL-2628 CD Delft, Netherlands - Author
Univ Politecn Madrid, CSIC, CAR, CVG, C Jose Gutierrez Abascal 2, E-28006 Madrid, Spain - Author

Abstract

Unmanned Aerial Systems (UASs) have recently become a versatile platform for many civilian applications including inspection, surveillance and mapping. Sense-and-Avoid systems are essential for the autonomous safe operation of these systems in non-segregated airspaces. Vision-based Sense-and-Avoid systems are preferred to other alternatives as their price, physical dimensions and weight are more suitable for small and medium-sized UASs, but obtaining real flight imagery of potential collision scenarios is hard and dangerous, which complicates the development of Vision-based detection and tracking algorithms. For this purpose, user-friendly software for synthetic imagery generation has been developed, allowing to blend user-defined flight imagery of a simulated aircraft with real flight scenario images to produce realistic images with ground truth annotations. These are extremely useful for the development and benchmarking of Vision-based detection and tracking algorithms at a much lower cost and risk. An image processing algorithm has also been developed for automatic detection of the occlusions caused by certain parts of the UAV which carries the camera. The detected occlusions can later be used by our software to simulate the occlusions due to the UAV that would appear in a real flight with the same camera setup. Additionally this algorithm could be used to mask out pixels which do not contain relevant information of the scene for the visual detection, making the image search process more efficient. Finally an application example of the imagery obtained with our software for the benchmarking of a state-of-art visual tracker is presented.
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Keywords

Collision avoidanceCollision-avoidanceSense-and-avoidUav

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2016, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Artificial Intelligence. 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 2026-04-27:

  • Google Scholar: 4
  • WoS: 4
  • Scopus: 4
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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 2026-04-27:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 15.
  • 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: 15 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 3.

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:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/41460/

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: 1,348
  • Downloads: 411
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Netherlands.

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 (Carrió Fernández, Adrián) and Last Author (CAMPOY CERVERA, PASCUAL).

the author responsible for correspondence tasks has been Carrió Fernández, Adrián.

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