Filling the Gaps: Using Synthetic Low-Altitude Aerial Images to Increase Operational Design Domain Coverage

Filling the Gaps: Using Synthetic Low-Altitude Aerial Images to Increase Operational Design Domain Coverage

A key necessity for the safe and autonomous flight of Unmanned Aircraft Systems (UAS) is their reliable perception of the environment, for example, to assess the safety of a landing site. For visual perception, Machine Learning (ML) provides state-of-the-art results in terms of performance, but the...

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Bibliographic Details
Main Authors: Joachim Rüter, Theresa Maienschein, Sebastian Schirmer, Simon Schopferer, Christoph Torens
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
operational design domain (ODD)
environment perception
object detection
machine learning
synthetic images
game engine
Online Access:https://www.mdpi.com/1424-8220/24/4/1144

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