Vision System for a Forestry Navigation Machine

This article presents the development of a vision system designed to enhance the autonomous navigation capabilities of robots in complex forest environments. Leveraging RGBD and thermic cameras, specifically the Intel RealSense 435i and FLIR ADK, the system integrates diverse visual sensors with adv...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 24; H. 5; S. 1475
Hauptverfasser:	Pereira, Tiago, Gameiro, Tiago, Pedro, José, Viegas, Carlos, Ferreira, N. M. Fonseca
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 24.02.2024 MDPI
Schlagworte:	Algorithms Automation autonomous mobile robot Cameras Datasets Decision making Forestry Forests and forestry Image processing image processing algorithms International economic relations Neural networks object detection Robotics Robots Semiconductor industry Sensors Vegetation vision system Vision systems YOLOv5 United States United States > US image processing algorithms autonomous mobile robot vision system object detection YOLOv5
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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