Off-Road Drivable Area Detection: A Learning-Based Approach Exploiting LiDAR Reflection Texture Info...
Off-Road Drivable Area Detection: A Learning-Based Approach Exploiting LiDAR Reflection Texture Information
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
The detection of drivable areas in off-road scenes is a challenging problem due to the presence of unstructured class boundaries, irregular features, and dust noise. Three-dimensional LiDAR data can effectively describe the terrain features, and a bird’s eye view (BEV) not only shows these features, but also retains the relative size of the environ...
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Full title
Off-Road Drivable Area Detection: A Learning-Based Approach Exploiting LiDAR Reflection Texture Information
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TN_cdi_doaj_primary_oai_doaj_org_article_da8ed1e58ad2401db515bd84932c6baf
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_da8ed1e58ad2401db515bd84932c6baf
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs15010027
