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Analysis of institutional authors

Cabrera Quesada, JulianAuthorNieto MAuthorSalgado LAuthorJaureguizar FAuthorCabrera JAuthor

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Proceedings Paper

Stabilization of inverse perspective mapping images based on robust vanishing point estimation

Publicated to:Ieee Intelligent Vehicles Symposium, Proceedings. 315-320 - 2007-01-01 (), DOI: 10.1109/ivs.2007.4290133

Authors: Nieto, M; Salgado, L; Jaureguizar, F; Cabrera, J

Affiliations

Univ Politecn Madrid, ETS Ing Telecomun, Grp Tratamiento Imagenes, Madrid, Spain - Author
Universidad Politécnica de Madrid - Author

Abstract

In this work, a new Inverse Perspective Mapping (IPM) technique is proposed based on a robust estimation of the vanishing point, which provide bird-view images of the road, so that facilitating the tasks of road modeling and vehicle detection and tracking. This new approach has been design to cope with the instability that cameras mounted on a moving vehicle suffer. The estimation of the vanishing point relies on a novel and efficient feature extraction strategy, which segmentates the lane markings of the images by combining a histogram-based segmentation with temporal and frequency filtering. Then, the vanishing point of each image is stabilized by means of a temporal filtering along the estimates of previous images. In a last step, the IPM image is computed based on the stabilized vanishing point. Tests have been carried out on several long video sequences captured from cameras inside a vehicle being driven along highways and local roads, with different illumination and weather conditions, presence of shadows, occluding vehicles, and slope changes. Results have shown a significant improvement in terms of lane width constancy and parallelism between lane markings over nonstabilized IPM algorithms. ©2007 IEEE.

Keywords

SystemTracking

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Ieee Intelligent Vehicles Symposium, Proceedings 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, 2007, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Automotive Engineering. Notably, the journal is positioned above the 90th percentile.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 13.54, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jun 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-06-14, the following number of citations:

  • WoS: 28
  • Scopus: 70
  • Google Scholar: 105
  • OpenCitations: 51

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 2025-06-14:

  • 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: 61 (PlumX).

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 (NIETO RODRIGUEZ, MANUEL MARIA) and Last Author (CABRERA CHAVES, JAVIER).