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

The biggest limitation of particle filters is that for a large amount of particles, CPU implementation is incredibly costly. To compensate for this, historically SLAM algorithms relied heavily on good ...

Abstract: Motivated by non-linear, non-Gaussian, distributed multi-sensor/agent navigation and tracking applications, we propose a multi-rate consensus/fusion based framework for distributed ...

Abstract: In order to solve the problem of low accuracy caused by sample impoverishment in wireless sensor target tracking using particle filtering (PF), an improved cuckoo bird particle filtering WSN ...

The automotive industry is delivering the first implementations of advanced driver-assistance systems (ADAS) for Level 2 (foot off the gas or break) and Level 3 (hands off the wheel) vehicles. Though ...

Optimization is essential in real-life mechanical engineering problems that mostly are nonlinear, depend on mixed decision variables, and are usually subject to constraints. However, most of the ...