Abstract: Particle filtering is a sequential Monte Carlo simulation based on nonlinear filtering algorithm. The method may cope with any nonlinear and non-Gaussian ...

There was an error while loading. Please reload this page. This repo describes in detail the theoretical foundations and practical implementation of the particle ...

This project implements a particle filter algorithm to localize a vehicle using map landmarks to achieve higher positional precision than raw GPS. The algorithm follows the following steps: Initialize ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...