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.