15 citations · 37 across the 7 of their papers we have counts for
7 papers
Split Happens! Imprecise and Negative Information in Gaussian Mixture Random Finite Set Filtering
Keith A. LeGrand, Silvia Ferrari
In object tracking and state estimation problems, ambiguous evidence such as imprecise measurements and the absence of detections can contain valuable information and thus be lever…
Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-object Search-While-Tracking (SWT)
Keith A. LeGrand, Pingping Zhu, Silvia Ferrari
Information-driven control can be used to develop intelligent sensors that can optimize their measurement value based on environmental feedback. In object tracking applications, se…
Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets
Chang Liu, Zhihao Liao, Silvia Ferrari
This paper presents a decentralized Gaussian Process (GP) learning, fusion, and planning (RESIN) formalism for mobile sensor networks to actively learn target motion models. RESIN…
The Role of Bounded Fields-of-View and Negative Information in Finite Set Statistics (FISST)
Keith LeGrand, Silvia Ferrari
The role of negative information is particularly important to search-detect-track problems in which the number of objects is unknown a priori, and the size of the sensor field-of-v…
Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems
Pingping Zhu, Chang Liu, Silvia Ferrari
This paper presents an adaptive online distributed optimal control approach that is applicable to optimal planning for very-large-scale robotics systems in highly uncertain environ…
Random Finite Set Theory and Centralized Control of Large Collaborative Swarms
Bryce Doerr, Richard Linares, Pingping Zhu +1
Controlling large swarms of robotic agents presents many challenges including, but not limited to, computational complexity due to a large number of agents, uncertainty in the func…
An Information Value Function for Nonparametric Gaussian Processes
Hongchuan Wei, Wenjie Lu, Silvia Ferrari
This paper presents a novel information value function that can be used in online sensor planning to monitor a spatial phenomenon in which the spatial phenomenon is modeled by nonp…