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A particle filter (PF) has been introduced for effective position estimation of moving targets for non-Gaussian and nonlinear systems.
A particle filter (PF) has been introduced for effective position estimation of moving targets for non-Gaussian and nonlinear systems.
A particle filter (PF) has been introduced for effective position estimation of moving targets for non-Gaussian and nonlinear systems.
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 ...
Particle filters can facilitate the exploitation of a priori information in the form of (non-linear) hard- truncated position, speed, and acceleration.
Moving-Target Position Estimation Using GPU-Based Particle Filter for IoT Sensing Applications กค Computer Science, Engineering กค 2017.
Sep 5, 2023 กค In this paper, a set of techniques to bring a computationally expensive state-of-the-art motion prediction algorithm to real-time execution are presented
CPU-based implementation of the system in terms of overall speedup and speedup of particle evaluation, which is the target GPU-acceleration. All performance ...
Oct 22, 2020 กค Our implementation of particle filters on FPGA is scalable and modular, with a low execution time of about 5.62 µs for processing 1024 particles ...
A framework for positioning, navigation, and tracking problems using particle filters (sequential Monte Carlo methods) is developed.