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Analysis of institutional authors

Sanjurjo M.Author

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February 25, 2025
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A Fully Autonomous On-Board GNC Methodology for Small-Body Environments Based on CNN Image Processing and MPCs

Publicated to:Aerospace. 11 (11): - 2024-01-01 11(11), DOI: 10.3390/aerospace11110952

Authors: Peñarroya P; Escalante A; Frekhaug T; Sanjurjo M

Affiliations

Facultad de Ingeniería Aeroespacial; Universidad Carlos III de Madrid; Avenida Universidad 30; Madrid; 28911; Spain - Author

Abstract

The increasing need for autonomy in space exploration missions is becoming more and more relevant in the design of missions to small bodies. The long communication latencies and sensitivity of the system to unplanned environmental perturbations mean autonomous methods could be a key design block for this type of mission. In this work, a fully autonomous Guidance, Navigation, and Control (GNC) methodology is introduced. This methodology relies on published CNN-based techniques for surface recognition and pose estimation and also on existing MPC-based techniques for the design of a trajectory to perform a soft landing on an asteroid. Combining Hazard Detection and Avoidance (HDA) with relative navigation systems, a Global Safety Map (GSM) is built on the fly as images are acquired. These GSMs provide the GNC system with information about feasible landing spots and populate a longitude–latitude map with safe/hazardous labels that are later processed to find an optimal landing spot based on mission requirements and a distance-fromhazard metric. The methodology is exemplified using Bennu as the body of interest, and a GSM is built for an arbitrary reconnaissance orbit. © 2024 by the authors.

Keywords

AsteroidAutonomous systemsGncMachine learningSpace exploration

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Aerospace 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, 2024 there are still no calculated indicators, but in 2023, it was in position 16/55, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Engineering, Aerospace. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Aerospace Engineering.

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 2025-07-27:

  • 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: 1 (PlumX).

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

    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: Last Author (SANJURJO RIVO, MANUEL).