Observable Formulation SLAM Implementation

Observable Formulation SLAM Implementation,10.1007/978-1-84882-985-5_31,Abdelkarim Souici,Abdelaziz Ouldali,Raja Chatila

Observable Formulation SLAM Implementation   (Citations: 1)
BibTex | RIS | RefWorks Download
Autonomous systems have received special attention in the scientific community in the hope of designing a mobile robot with the ability to navigate in an unknown environment and simultaneous localization and mapping (SLAM) problem has been considered as a fundamental issue to realize the above task. Consequently, the robotics community has been engaged in the development and implementation of algorithms and related issues for SLAM. A lot of effort was put into solving this challenging problem [1, 2, 3, 4]. The widely used formulation of the SLAM problem has been the augmented state approach in an estimation theoretic framework, generally based on the extended Kalman filter (EKF) and using the relative observation only to update the state vector [5, 6, 7].
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
Sort by: