scholarly journals Slam Algorithms for Different Map Representations

2022 ◽  
Vol 1215 (1) ◽  
pp. 012007
Author(s):  
R.U. Titov ◽  
A.V. Motorin
Keyword(s):  
Bayesian Approach ◽  
Dimensional Space ◽  
Simultaneous Localization And Mapping ◽  
Mobile Platform ◽  
Two Dimensional ◽  
Problem Statement ◽  
Mapping Problem ◽  
Mapping Algorithm ◽  
Localization And Mapping ◽  
The Bayesian Approach

Abstract The paper discusses the generalized simultaneous localization and mapping problem statement from the standpoint of the Bayesian approach and its relationship with algorithms for different map representations. The two-dimensional example describes the linearized simultaneous localization and mapping algorithm for the mobile platform in two-dimensional space.

scholarly journals A novel approach for the global localization problem

2012 ◽  
Vol 22 ◽  
pp. 106-112
Author(s):  
Alfredo Toriz ◽  
Abraham Sánchez ◽  
Maria A. Osorio
Keyword(s):  
Data Structure ◽  
Simultaneous Localization And Mapping ◽  
Random Tree ◽  
Localization Problem ◽  
Global Localization ◽  
Mapping Algorithm ◽  
B Splines ◽  
Novel Approach ◽  
Localization And Mapping ◽  
Safe Region

This paper describes a simultaneous planning localization and mapping (SPLAM) methodology focussed on the global localization problem, where the robot explores the environment efficiently and also considers the requisites of the simultaneous localization and mapping algorithm. The method is based on the randomized incremental generation of a data structure called Sensor-based Random Tree, which represents a roadmap of the explored area with an associated safe region. A continuous localization procedure based on B-Splines features of the safe region is integrated in the scheme.

Data Association Analysis in Simultaneous Localization and Mapping Problem

2019 ◽  
Vol 11 (4) ◽  
Author(s):  
Hamzah Ahmad ◽  
◽  
Nur Aqilah Othman ◽  
Mohd Mawardi Saari ◽  
Mohd Syakirin Ramli ◽  
...  
Keyword(s):  
Association Analysis ◽  
Data Association ◽  
Simultaneous Localization And Mapping ◽  
Mapping Problem ◽  
Localization And Mapping
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