Sigma point-based fastslam: Solution to slam problem

Zafizal, Z. and Saifudin, Razali and Mohd Razali, Daud and Hamzah, Ahmad (2016) Sigma point-based fastslam: Solution to slam problem. ARPN Journal of Engineering and Applied Sciences, 11 (10). pp. 6697-6702. ISSN 1819-6608. (Published)

Pdf (Open access)
Sigma point-based fastslam_solution to SLAM problem.pdf

Download (401kB) | Preview


This paper proposes a reduced sigma point transformation for a FastSLAM framework. The sigma point transformation is used to estimate robot poses in conjunction with generic particle filter used in standard FastSLAM framework. This method can estimate robot poses more consistently and accurately than the current standard particle filters, especially when involving highly nonlinear models or non-Gaussian noises. In addition, this algorithm avoids the calculation of the Jacobian for motion model which could be extremely difficult for high order systems. We proposed a sampling strategy known as a spherical simplex for sigma point transformation to estimate robot poses in FastSLAM framework. Simulation results are shown to validate the performance goals.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Simultaneous localization and mapping; Extended kalman filter; Unscented kalman filter; FastSLAM; Particle filter; Spherical simplex unscented transformation
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 23 Aug 2022 08:01
Last Modified: 23 Aug 2022 08:01
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item