activity
20102023
most citedSimple and fast convex relaxation method for cooperative localization in sensor networks using range measurements

90 citations · 150 across the 15 of their papers we have counts for

collaborators

16 papers

math.OC2023

Parameter-free Maximum Likelihood Localization of a Network of Moving Agents from Ranges, Bearings and Velocity measurements

Filipa Valdeira, Cláudia Soares, João Gomes

Localization is a fundamental enabler technology for many applications, like vehicular networks, IoT, and even medicine. While Global Navigation Satellite Systems solutions offer g…

cs.LG2022

ISEE.U: Distributed online active target localization with unpredictable targets

Miguel Vasques, Claudia Soares, João Gomes

This paper addresses target localization with an online active learning algorithm defined by distributed, simple and fast computations at each node, with no parameters to tune and…

eess.SP2021★ 6 cited

Range and Bearing Data Fusion for Precise Convex Network Localization

Claudia Soares, Filipa Valdeira, Joao Gomes

Hybrid localization in GNSS-challenged environments using measured ranges and angles is becoming increasingly popular, in particular with the advent of multimodal communication sys…

math.OC2021★ 14 cited

STRONG: Synchronous and asynchronous RObust Network localization, under Non-Gaussian noise

Claudia Soares, João Gomes

Real-world network applications must cope with failing nodes, malicious attacks, or nodes facing corrupted data - data classified as outliers. Our work addresses these concerns in…

eess.SY2021★ 10 cited

Autonomous orbit determination for satelite formations using relative sensing: observability analysis and optimization

Pedro Rocha Cachim, João Gomes, Rodrigo Ventura

Orbit determination of spacecraft in orbit has been mostly dependent on either GNSS satellite signals or ground station telemetry. Both methods present their limitations, however:…

cs.CV2019★ 8 cited

CvxPnPL: A Unified Convex Solution to the Absolute Pose Estimation Problem from Point and Line Correspondences

Sérgio Agostinho, João Gomes, Alessio Del Bue

We present a new convex method to estimate 3D pose from mixed combinations of 2D-3D point and line correspondences, the Perspective-n-Points-and-Lines problem (PnPL). We merge the…