Implementation of "A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application"

GM-PHD filter in target tracking

Matlab implementations of various multi-sensor labelled multi-Bernoulli filters

A python package for Guidance, navigation, and control (GNC) of Autonomous Swarms Using Random finite sets (RFS) developed by the Laboratory for Autonomy, GNC, and Estimation Research (LAGER) at the University of Alabama (UA).

This is the official Python and C++ implementation repository for a paper entitled "Track Initialization and Re-Identification for 3D Multi-View Multi-Object Tracking", Information Fusion (http://arxiv.org/abs/2405.18606).

Probabilistic Hypothesis Density filter with family.

This repository will be a home to the RFS based filters.

Efficient point process inference for large scale object detection

This is the official Python and C++ implementation repository for a paper entitled "Visual multi-object tracking with re-identification and occlusion handling using labeled random finite sets", Pattern Recognition (https://arxiv.org/pdf/2407.08872).

Multi-sensor GLMB for nuScences dataset

This repository includes Python implementations adapted from Matlab, originally developed by Prof. Ba-Tuong Vo. The original Matlab codes can be found at Prof. Vo's website (https://ba-tuong.vo-au.com/codes.html) or on GitHub (https://github.com/nguyenvanhoa89/tracking/tree/master/Vo_Codes).

Unofficial implementation of Random Finite Sets for Gen.jl

A multiple object tracker based on CNN