ARTICLE
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doi:10.20944/preprints202404.1853.v1
Subject:
Computer Vision And Graphics,
Computer Science And Mathematics
Keywords:
Unmanned Aerial Vehicle; Geopositioning; visual odometry; Aerial Imagery; feature extraction
Online: 29 April 2024 (04:08:19 CEST)