FPGA Implementation of Particle Filters for Robotic Source Localization

FPGA Implementation of Particle Filters for Robotic Source Localization

Particle filtering is very reliable in modelling non-Gaussian and non-linear elements of physical systems, which makes it ideal for tracking and localization applications. However, a major drawback of particle filters is their computational complexity, which inhibits their use in real-time applicati...

Full description

Bibliographic Details
Main Authors: Adithya Krishna, Andre van Schaik, Chetan Singh Thakur
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Particle filters
field programmable gate array
bearings-only tracking
Bayesian filtering
unmanned ground vehicle
hardware architectures
Online Access:https://ieeexplore.ieee.org/document/9475035/

Internet

https://ieeexplore.ieee.org/document/9475035/

Similar Items