Jan 23, 2023 ， This study addresses the problem of real-time tracking of high-speed ballistic targets. Particle filters can be used to overcome the nonlinearity of motion and ...
Missing: based Acceleration Localization
Feb 15, 2024 ， This study addresses the problem of real-time tracking of high-speed ballistic targets. Particle filters can be used to overcome the ...
Missing: Localization | Show results with:Localization
The proposed approach utilizes a parallelization method in the target position estimation algorithm using GPU-based PF processing. In addition, it could ...
Feb 8, 2023 ， This paper explains a high-speed target tracking system and the necessity for the PF algorithm acceleration. Paral- lelization is used in parts ...
Missing: Localization | Show results with:Localization
The proposed approach utilizes a parallelization method in the target position estimation algorithm using GPU-based PF processing. In addition, it could ...
A particle filter (PF) has been introduced for effective position estimation of moving targets for non-Gaussian and nonlinear systems. The time difference ...
Particle filtering is a very popular method for nonlinear/non-. Gaussian state estimation, however, implementation of particle fil-.
Missing: Acceleration Localization
Apr 25, 2024 ， This paper presents a 6-DoF range-based Monte Carlo localization method with a GPU-accelerated Stein particle filter.
Missing: Target | Show results with:Target
Sep 5, 2023 ， This section describes the implementation of acceleration techniques on the different stages of a particle filter (predict, update, resample and ...
Jun 1, 2015 ， This paper presents results on development, implementation and performance evaluation of computationally efficient parallel algorithms for ...
Missing: based Acceleration Localization