47 citations · 91 across the 11 of their papers we have counts for
5 papers · 1 filter
Enhanced Multi-Target Tracking in Dynamic Environments: Distributed Flooding Control in the Random Finite Set Framework
Aidan Blair, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar +2
Tracking multiple targets in dynamic environments using distributed sensor networks is a challenging problem for situational awareness in connected autonomous vehicles (CAVs). In s…
Statistical Information Fusion for Multiple-View Sensor Data in Multi-Object Tracking
Xiaoying Wang, Reza Hoseinnezhad, Amirali K. Gostar +3
This paper presents a novel statistical information fusion method to integrate multiple-view sensor data in multi-object tracking applications. The proposed method overcomes the dr…
Multi-Sensor Control for Multi-Object Bayes Filters
Xiaoying Wang, Reza Hoseinnezhad, Amirali K. Gostar +3
Sensor management in multi-object stochastic systems is a theoretically and computationally challenging problem. This paper presents a novel approach to the multi-target multi-sens…
Multi-Bernoulli Sensor-Control via Minimization of Expected Estimation Errors
Amirali K. Gostar, Reza Hoseinnezhad, Alireza Bab-Hadiashar
This paper presents a sensor-control method for choosing the best next state of the sensor(s), that provide(s) accurate estimation results in a multi-target tracking application. T…
Sensor Control for Multi-Object Tracking Using Labeled Multi-Bernoulli Filter
Amirali K. Gostar, Reza Hoseinnezhad, Alireza Bab-Hadiashar
The recently developed labeled multi-Bernoulli (LMB) filter uses better approximations in its update step, compared to the unlabeled multi-Bernoulli filters, and more importantly,…