<i>LTC-Mapping</i>, Enhancing Long-Term Consistency of Object-Oriented Semantic Maps in Robotics

<i>LTC-Mapping</i>, Enhancing Long-Term Consistency of Object-Oriented Semantic Maps in Robotics

This paper proposes <i>LTC-Mapping</i>, a method for building object-oriented semantic maps that remain consistent in the long-term operation of mobile robots. Among the different challenges that compromise this aim, <i>LTC-Mapping</i> focuses on two of the more relevant ones...

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Bibliographic Details
Main Authors: Jose-Luis Matez-Bandera, David Fernandez-Chaves, Jose-Raul Ruiz-Sarmiento, Javier Monroy, Nicolai Petkov, Javier Gonzalez-Jimenez
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
semantic maps
object-oriented maps
long-term consistency
instance duplication
dynamic scenes
mobile robots
Online Access:https://www.mdpi.com/1424-8220/22/14/5308

Internet

https://www.mdpi.com/1424-8220/22/14/5308

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