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Balancing Speed and Accuracy: A Comparative Analysis of Segment Anything-Based Models for Robotic Indoor Semantic Mapping

AuthID
P-01A-M5X

Author(s)

Ferreira, BG

de Sousa, AJM

Reis, LP

Editor(s)

Gini,,G;Precup,,RE;Filev,,D

Document Type

Proceedings Paper

Year published

2025

Published

in ICINCO (1), ISSN: 2184-2809

Volume: 1, Pages: 321-328

Conference

22Nd International Conference on Informatics in Control, Automation and Robotics, Icinco 2025, Date: 2025-10-20 through 2025-10-22, Location: Marbella

Indexing

Scopus^®

Dblp^®/en/publications/view/1396925

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.5220/0013778500003982

Dblp: conf/icinco/FerreiraSR25

Scopus: 2-s2.0-105022061278

Source Identifiers

ISSN: 2184-2809

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Balancing Speed and Accuracy: A Comparative Analysis of Segment Anything-Based Models for Robotic Indoor Semantic Mapping

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Balancing Speed and Accuracy: A Comparative Analysis of Segment Anything-Based Models for Robotic Indoor Semantic Mapping

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