Assessing an Image-to-Image Approach to Global Path Planning for a Planetary Exploration
Assessing an Image-to-Image Approach to Global Path Planning for a Planetary Exploration
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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This work considers global path planning enabled by generative adversarial networks (GANs) on a 2D grid world. These networks can learn statistical relationships between obstacles, goals, states, and paths. Given a previously unseen combination of obstacles, goals, and an initial state, they can be asked to guess what a new path would look like. We...
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Full title
Assessing an Image-to-Image Approach to Global Path Planning for a Planetary Exploration
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TN_cdi_doaj_primary_oai_doaj_org_article_5ab287cba85a4080b8779e4ea48ccf51
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5ab287cba85a4080b8779e4ea48ccf51
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ISSN
2226-4310
E-ISSN
2226-4310
DOI
10.3390/aerospace9110721
