1 code implementation • 19 Oct 2022 • Jaejeong Shin, Shi Chang, Matthew Bays, Joshua Weaver, Tom Wettergren, Silvia Ferrari
We propose a novel method to generate underwater object imagery that is acoustically compliant with that generated by side-scan sonar using the Unreal Engine.
no code implementations • 22 Jul 2022 • 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 leveraged to further refine the probabilistic belief state.
no code implementations • 25 Aug 2021 • Keith A. LeGrand, Pingping Zhu, Silvia Ferrari
This paper presents a new tractable approximation of the RFS expected information gain applicable to sensor control for multi-object search and tracking.
no code implementations • 2 Apr 2020 • 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-view is far smaller than that of the region of interest.
1 code implementation • 1 Oct 2018 • Bryce Doerr, Richard Linares, Pingping Zhu, Silvia Ferrari
Additionally, the RFS control formulation is shown to be very flexible in terms of the number of agents in the swarm and configuration of the desired Gaussian mixtures.
Systems and Control