CAPD:: DynSys: a flexible C++ toolbox for rigorous numerical analysis of dynamical systems
CAPD::DynSys: A flexible C++ toolbox for rigorous numerical analysis of dynamical systems -
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Set-membership estimation in shared situational awareness for automated vehicles in occluded scenarios
V Narri, A Alanwar, J Mårtensson… - 2021 IEEE Intelligent …, 2021 - ieeexplore.ieee.org
One of the main challenges in developing autonomous transport systems based on
connected and automated vehicles is the comprehension and understanding of the …
connected and automated vehicles is the comprehension and understanding of the …
Lie symmetries applied to interval integration
In this paper, we propose a new approach for improving significantly existing guaranteed
integration methods for state equations with uncertain initial conditions. We first find a tube …
integration methods for state equations with uncertain initial conditions. We first find a tube …
[HTML][HTML] Integrity and collaboration in dynamic sensor networks
Global Navigation Satellite Systems (GNSS) deliver absolute position and velocity, as well
as time information (P, V, T). However, in urban areas, the GNSS navigation performance is …
as time information (P, V, T). However, in urban areas, the GNSS navigation performance is …
Safe and adaptive autonomous navigation under uncertainty based on sequential waypoints and reachability analysis
This paper presents a new approach for a safe autonomous navigation based on reliable
state space reachability analysis. This latter improves an already proposed flexible …
state space reachability analysis. This latter improves an already proposed flexible …
[图书][B] Reliable robot localization: a constraint-programming approach over dynamical systems
Localization for underwater robots remains a challenging issue. Typical sensors, such as
Global Navigation Satellite System (GNSS) receivers, cannot be used under the surface and …
Global Navigation Satellite System (GNSS) receivers, cannot be used under the surface and …
Reliable non-linear state estimation involving time uncertainties
This paper presents a new approach to bounded-error state estimation involving time
uncertainties. For a given bounded observation of a continuous-time non-linear system, it is …
uncertainties. For a given bounded observation of a continuous-time non-linear system, it is …
Dual set membership filter with minimizing nonlinear transformation of ellipsoid
In this article, we propose a dual set membership filter for nonlinear dynamic systems with
additive unknown but bounded noises, and it has three distinct advantages. First, the …
additive unknown but bounded noises, and it has three distinct advantages. First, the …
Reliability assessment of an unscented kalman filter by using ellipsoidal enclosure techniques
The Unscented Kalman Filter (UKF) is widely used for the state, disturbance, and parameter
estimation of nonlinear dynamic systems, for which both process and measurement …
estimation of nonlinear dynamic systems, for which both process and measurement …
Interval extended Kalman filter—application to underwater localization and control
The extended Kalman filter has been shown to be a precise method for nonlinear state
estimation and is the facto standard in navigation systems. However, if the initial estimated …
estimation and is the facto standard in navigation systems. However, if the initial estimated …