In this paper, we propose a GPU -based acceleration of target position estimation using a PF and propose an efficient system and software architecture. The ...

A particle filter (PF) has been introduced for effective position estimation of moving targets for non-Gaussian and nonlinear systems.

In this paper, we propose a GPU -based acceleration of target position estimation using a PF and propose an efficient system and software architecture. The ...

In this paper, we propose a GPU -based acceleration of target position estimation using a PF and propose an efficient system and software architecture. The ...

A GPU -based acceleration of target position estimation using a PF and an efficient system and software architecture are proposed which can be applied in ...

CPU-based implementation of the system in terms of overall speedup and speedup of particle evaluation, which is the target GPU-acceleration. All performance ...

Sep 5, 2023 ¡¤ This section describes the implementation of acceleration techniques on the different stages of a particle filter (predict, update, resample and ...

J.W. Kim, H.C. Lee, 2021, GPU-based Acceleration of Particle Filters for Real-Time Target Localization, KSAS 2021 Fall Conference Google Search. 6. S. H. Lee ...

For many years, Kalman filters and related formulations have served as the standard basis for object tracking applications. Such techniques are.

Accelerating the SRP-PHAT algorithm on multi- and many-core platforms using OpenCL ¡¤ Computer Science, Engineering. Journal of Supercomputing ¡¤ 2018.