<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Simultaneous localisation and mapping (SLAM) is a process by which robots build maps of their environment and simultaneously determine their location and orientation in the environment. In recent years, SLAM research has advanced quickly. Researchers are currently working on developing reliable and accurate visual SLAM algorithms dealing with dynamic environments. The steps involved in developing a SLAM system are described in this article. We explore the most-recent methods used in SLAM systems, including probabilistic methods, visual methods, and deep learning (DL) methods. We also discuss the fundamental techniques utilised in SLAM fields.</p>
</abstract>

Simultaneous localisation and mapping (SLAM) is a process by which robots build maps of their environment and simultaneously determine their location and orientation in the environment. In recent years, SLAM research has advanced quickly. Researchers are currently working on developing reliable and accurate visual SLAM algorithms dealing with dynamic environments. The steps involved in developing a SLAM system are described in this article. We explore the most-recent methods used in SLAM systems, including probabilistic methods, visual methods, and deep learning (DL) methods. We also discuss the fundamental techniques utilised in SLAM fields.

Visual Simultaneous Localisation and Mapping Methodologies

University de Batna 2 - Mostefa Ben Boulaïd 53

Acta Mechanica et Automatica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Visual Simultaneous Localisation and Mapping Methodologies"}

Simultaneous localisation and mapping (SLAM) is a process by which robots build maps of their environment and simultaneously determine their location and...

Visual Simultaneous Localisation and Mapping Methodologies

Online veröffentlicht: 25. Juli 2024

Seitenbereich: 451 - 473

Eingereicht: 26. Juli 2023

Akzeptiert: 29. Nov. 2023

DOI: https://doi.org/10.2478/ama-2024-0049

Schlüsselwörter
simultaneous localisation and mapping, SLAM, visual SLAM, deep-learning SLAM

© 2024 Zoulikha Bouhamatou et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Visual Simultaneous Localisation and Mapping Methodologies

Online veröffentlicht: 25. Juli 2024

Seitenbereich: 451 - 473

Eingereicht: 26. Juli 2023

Akzeptiert: 29. Nov. 2023

DOI: https://doi.org/10.2478/ama-2024-0049

Schlüsselwörtersimultaneous localisation and mapping, SLAM, visual SLAM, deep-learning SLAM

© 2024 Zoulikha Bouhamatou et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
simultaneous localisation and mapping, SLAM, visual SLAM, deep-learning SLAM