This approximation is used to implement a real-time random finite set particle filter on a graphical processing unit using real world sensor data. 1 ...

This approximation is used to implement a real-time random finite set particle filter on a graphical processing unit using real world sensor data. 1 ...

Within the random finite set statistics it is possible to easily incorporate constraints concerning object states and to integrate them into a multi-target ...

In this paper, we propose an approximate implementation for labeled random finite set filtering with low computational cost. In contrast to the earlier ...

This IMM-GLMBF algorithm integrates the prediction and the update steps of the IMM-GLMB algorithm, so that it requires only one truncation.

Hence, in this implementation, particles are generated with random positions so that the initial belief state is the uniform distribution. The motion model ...

A particle implementation of the proposed recursion is given. Under linear Gaussian and constant sensor field of view assumptions, an exact closed form solution ...

May 9, 2016 · The paper presents a real-time application serving as a fusion layer for laser and radar sensor data and describes in detail a highly efficient ...

A particle filter is used to track the position of the pipe in the scan by observing the detections. This technique can be applied in pipe inspection using AUVs ...

Aug 28, 2021 · We demonstrate a heuristic approach for optimizing the posterior density of the data association tracking algorithm via the random finite set (RFS) theory.