Real-time Instance-Aware Segmentation and Semantic Mapping on Edge Devices

Perceiving the environment semantically in real-time is challenging for unmanned aerial vehicles (UAVs) with limited computational resources. In this paper, a real-time instance-aware segmentation and semantic mapping method on small edge devices is proposed. Taking RGB-D image as input, the present...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on instrumentation and measurement Jg. 72; S. 1
Hauptverfasser:	Lu, Junjie, Tian, Bailing, Shen, Hongming, Zhang, Xuewei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	autonomous exploration Feature extraction Image edge detection Image segmentation instance segmentation Mapping Object recognition Real time Real-time systems Semantic mapping Semantics Simultaneous localization and mapping Statistical analysis Three-dimensional displays Unmanned aerial vehicles
ISSN:	0018-9456, 1557-9662
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!