Spatio-Temporal Metric-Semantic Mapping for Persistent Orchard Monitoring: Method and Dataset

Monitoring orchards at the individual tree or fruit level throughout the growth season is crucial for plant phenotyping and horticultural resource optimization, such as chemical use and yield estimation. We present a 4D spatio-temporal metric-semantic mapping system that integrates multi-session mea...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 10; H. 8; S. 8610 - 8617
Hauptverfasser:	Lei, Jiuzhou, Prabhu, Ankit, Liu, Xu, Cladera, Fernando, Mortazavi, Mehrad, Ehsani, Reza, Chaudhari, Pratik, Kumar, Vijay
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.08.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Cameras Costs Feature extraction Laser radar Location awareness Mapping metric-semantic mapping Monitoring Point cloud compression Robotics and automation in agriculture and forestry Semantics Three-dimensional displays Time measurement Topology Visualization
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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