Simultaneous localization and mapping for aerial vehicles: a 3-D sensor-based GAS filter
This paper presents the design, analysis, and experimental validation of a globally
asymptotically stable (GAS) filter for simultaneous localization and mapping (SLAM) with …
asymptotically stable (GAS) filter for simultaneous localization and mapping (SLAM) with …
Globally exponentially stable Kalman filtering for SLAM with AHRS
TA Johansen, E Brekke - 2016 19th International Conference …, 2016 - ieeexplore.ieee.org
The Simultaneous Localization And Mapping (SLAM) estimation problem using range or
bearing angle sensors is an inherently nonlinear problem due to the nonlinear relationship …
bearing angle sensors is an inherently nonlinear problem due to the nonlinear relationship …
Methods for improving the linearization problem of extended Kalman filter
FF Yadkuri, MJ Khosrowjerdi - Journal of Intelligent & Robotic Systems, 2015 - Springer
In this paper, in order to reduce the linearization error of Kalman filters family, three new
methods are proposed and their effectiveness and feasibility are evaluated by means of …
methods are proposed and their effectiveness and feasibility are evaluated by means of …
Earth-based Simultaneous Localization and Mapping for Drones in Dynamic Environments
M Simas, BJ Guerreiro, P Batista - Journal of Intelligent & Robotic Systems, 2022 - Springer
This paper addresses the problem of simultaneous localization, mapping, and moving object
tracking (SLAMMOT) with application to unmanned aerial vehicles inside uncertain …
tracking (SLAMMOT) with application to unmanned aerial vehicles inside uncertain …
Sensor-based globally exponentially stable range-only simultaneous localization and mapping
This paper proposes the design, analysis, and validation of a globally exponentially stable
(GES) filter for tridimensional (3-D) range-only simultaneous localization and mapping. For …
(GES) filter for tridimensional (3-D) range-only simultaneous localization and mapping. For …
3-d inertial trajectory and map online estimation: Building on a GAS sensor-based SLAM filter
This paper addresses the problem of obtaining an inertial trajectory and map, with the
associated uncertainty, using the sensor-based map provided by a globally asymptotically …
associated uncertainty, using the sensor-based map provided by a globally asymptotically …
Observability analysis for improving EKF-SLAM algorithm by using simulation
F Zhang, SQ Li, S Yuan, Y Sun… - 2017 IEEE 7th Annual …, 2017 - ieeexplore.ieee.org
As for state estimation inconsistency in standard EKF-SLAM (Extended Kalman Filter,
Simultaneous Localization and Mapping), a new algorithm that increasing observability …
Simultaneous Localization and Mapping), a new algorithm that increasing observability …
SLAM for a small UAV with compensation for unordinary observations and convergence analysis
T Shinohara, T Namerikawa - … of the Society of Instrument and …, 2016 - ieeexplore.ieee.org
This paper deals with the Simultaneous Localization and Mapping (SLAM) problem for a
small Unmanned Aerial Vehicle (UAV) via extended Kalman Filter (EKF) with …
small Unmanned Aerial Vehicle (UAV) via extended Kalman Filter (EKF) with …
Performance analysis of filter based airborne simultaneous localization and mapping methods
In this research simultaneous localization and mapping (SLAM) problem of unmanned
systems which has emerged in last decade is identified by detecting SLAM algorithms …
systems which has emerged in last decade is identified by detecting SLAM algorithms …
Sensor-based globally asymptotically stable range-only simultaneous localization and mapping
Range-only simultaneous localization and mapping is addressed in this paper, through the
design, analysis, and experimental validation of a globally asymptotically stable (GAS) filter …
design, analysis, and experimental validation of a globally asymptotically stable (GAS) filter …