The Simultaneous Localization and Mapping problem in a nonlinear parameter identifiability perspective

2010 ◽  
Author(s):  
L.D.L. Perera ◽  
E. Nettleton
Keyword(s):  
Simultaneous Localization And Mapping ◽  
Nonlinear Parameter ◽  
Parameter Identifiability ◽  
Mapping Problem ◽  
Localization And Mapping

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

A Robust Solution to the Stereo-Vision-Based Simultaneous Localization and Mapping Problem with Steady and Moving Landmarks

2011 ◽  
Vol 25 (6-7) ◽  
pp. 765-788 ◽  
Author(s):  
Pubudu N. Pathirana ◽  
Andrey V. Savkinb ◽  
Samitha W. Ekanayake ◽  
Nicholas J. Bauer
Keyword(s):  
Stereo Vision ◽  
Simultaneous Localization And Mapping ◽  
Robust Solution ◽  
Mapping Problem ◽  
Localization And Mapping

Simultaneous localization and mapping navigation of unmanned ground vehicle based on second-order smooth variable structure filter with improved technique to combat fading for advanced wireless communications

2020 ◽  
pp. 095965182096572
Author(s):  
Abdelkader Mosbah ◽  
Fethi Demim ◽  
Ali Mansoul ◽  
Mustapha Benssalah ◽  
Abdelkrim Nemra
Keyword(s):  
Wireless Communications ◽  
Wireless Communication ◽  
Mobile Robot ◽  
Communication Systems ◽  
Simultaneous Localization And Mapping ◽  
Variable Structure ◽  
Second Order ◽  
Mapping Problem ◽  
Localization And Mapping ◽  
Smooth Variable Structure Filter

Simultaneous localization and mapping is very essential for autonomous navigation when the mobile robot is navigating in unknown environment without a global positioning system. Various techniques to solve the simultaneous localization and mapping problem have been extensively studied using the combination of low-cost sensors. Most of the work in mobile robotics still consists of finding solutions to problems in data exchange between mobile robot and communication control station, which is a challenging task. In fact, communication systems impose severe constraints in terms of channel capacity and transmission quality, because the transmission channel in communication systems is undergoing at the different physical phenomena like scattering, diffusion and diffraction, which occur interference and multiple path effects in wireless communications, while keeping these effects levels low. This article describes a simultaneous localization and mapping problem based on second-order smooth variable structure filter embedded in mobile robot equipped with a sensor for data wireless collection. The inclusion of the control in environments outside the mobile robot field of view can make the wireless communication simultaneous localization and mapping process much more difficult to find a solution under realistic conditions. In order to solve the simultaneous localization and mapping issue and to mitigate the fading phenomena, which affect the quality of service in advanced wireless communication systems, we use a new approach to combat the fading effect without requiring any statistical knowledge of the propagation channel parameters. Several experiments have been done in real-world applications, and good performances were obtained using a second-order smooth variable structure filter–simultaneous localization and mapping algorithm–based wireless communication.

scholarly journals DUAL OF THE FACTORED SOLUTION TO THE SIMULTANEOUS LOCALIZATION AND MAPPING PROBLEM

2007 ◽  
Vol 40 (15) ◽  
pp. 542-547 ◽  
Author(s):  
D. Rodriguez-Losada ◽  
P. San Segundo ◽  
F. Matia ◽  
R. Galan ◽  
A. Jiménez ◽  
...  
Keyword(s):  
Simultaneous Localization And Mapping ◽  
Mapping Problem ◽  
Localization And Mapping
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