activity
20242026
most citedA Probabilistic Focalization Approach for Single Receiver Underwater Localization

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Bridging Echolocation Gaps in Automated Beaked Whale Tracking

Clair Ma, Thomas Kropfreiter, Lauren Baggett +2

Passive acoustic monitoring (PAM) is an effective and widely used tool for tracking marine mammals, particularly beaked whales, which are infrequently observed visually because of…

cs.RO2026

Moment-Matching Probabilistic Data Association for Optimization-Based SLAM

Khoa Nguyen, Mitchell Turton, Florian Meyer

Optimization-based simultaneous localization and mapping (SLAM) makes it possible to reduce accumulated navigation errors of sensing platforms by returning to known areas (loop clo…

eess.SP2025

Association-Based Track-Before-Detect with Object Contribution Probabilities

Thomas Kropfreiter, Jason L. Williams, Florian Meyer

Multiobject tracking provides situational awareness that enables new applications for modern convenience, applied ocean sciences, public safety, and homeland security. In many mult…

eess.SP2024

Multiobject Tracking for Thresholded Cell Measurements

Thomas Kropfreiter, Jason L. Williams, Florian Meyer

In many multiobject tracking applications, including radar and sonar tracking, after prefiltering the received signal, measurement data is typically structured in cells. The cells,…

eess.SP2024★ 1 cited

A Probabilistic Focalization Approach for Single Receiver Underwater Localization

Luisa Watkins, Pietro Stinco, Alessandra Tesei +1

We introduce a Bayesian estimation approach for the passive localization of an acoustic source in shallow water using a single mobile receiver. The proposed probabilistic focalizat…