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Visual and Visual–Inertial SLAM for UGV Navigation in Unstructured Natural Environments: A Survey of Challenges and Deep Learning Advances

Localization and mapping remain critical challenges for Unmanned Ground Vehicles (UGVs) operating in unstructured natural environments, such as forests and agricultural fields. While Visual SLAM (VSLAM) and Visual–Inertial SLAM (VI-SLAM) have matured significantly in structured and urban scenarios,...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Tiago Pereira, Carlos Viegas, Salviano Soares, Nuno Ferreira
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2026-02-01
Schriftenreihe:Robotics
Schlagworte:
SLAM
visual SLAM
visual–inertial SLAM
Deep Learning
computer vision
unstructured natural environments
Online-Zugang:https://www.mdpi.com/2218-6581/15/2/35
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