CNN-Based Terrain Classification with Moisture Content Using RGB-IR Images

Unmanned mobile robots in rough terrains are a key technology for achieving smart agriculture and smart construction. The mobility performance of robots highly depends on the moisture content of soil, and past few studies have focused on terrain classification using moisture content. In this study,...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of robotics and mechatronics 2021-12, Vol.33 (6), p.1294-1302
Hauptverfasser:	Goto, Tomoya, Ishigami, Genya
Format:	Artikel
Sprache:	eng
Schlagworte:	Agriculture Artificial neural networks Classification Image classification Infrared imagery Infrared imaging Moisture content Pumice Robots Soil classification Soil moisture Soils Terrain
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!