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Cited by 26Advanced Neural Network ApplicationsSpacecraft Dynamics and ControlReinforcement Learning in Robotics

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A multilayer perceptron hazard detector for vision-based autonomous planetary landing

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Lunghi, Paolo, Ciarambino, Marco, Lavagna, Michèle·2016·Advances in Space Research
DOI 10.1016/j.asr.2016.04.012
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  • Some machine learning classifiers for image-based hazard detection, such as perceptrons, generally require the manual input of relevant features of the surface.

    “For image-based hazard detection in particular, some machine learning classifiers, such as perceptrons [15], have been explored. Still, these approaches generally require the manual input of relevant features of the surface.”

    From Image-Based Lunar Hazard Detection in Low Illumination Simulated Conditions via Vision Transformers (2023) · cites this paper as [15]

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References 41 · Cited by 26

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Metadata

Authors
Lunghi, P., Ciarambino, M., & Lavagna, M.
Affiliations
Politecnico di Milano (IT)
Corresponding author
Lunghi, Paolo
ORCID
Venue
Advances in Space Research
Publisher
Elsevier BV
Published
2016-07
Volume
58
Issue
1
Pages
131-144
ISSN
0273-1177 (ISSN-L)
DOI
10.1016/j.asr.2016.04.012
OpenAlex
W2337643215
Cited by
26
References
41
Citations by year
2026: 1 · 2025: 2 · 2024: 2 · 2023: 5 · 2022: 3 · 2021: 2 · 2020: 2 · 2019: 2 · 2018: 4 · 2017: 2 · 2016: 1
FWCI
2.04
Type
journal article
Language
en
Open access
Licence
Locations
  • Advances in Space Research (publishedVersion)
  • Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion, other-oa)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
  • Physical Sciences › Engineering › Aerospace Engineering › Spacecraft Dynamics and Control
  • Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
Keywords
threat detection, planetary landing, multilayer perceptron, artificial neural networks, target selection, hazard maps, vision-based guidance, lunar landing

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