57 citations · 225 across the 22 of their papers we have counts for
8 papers · 1 filter
Robust Interference Mitigation techniques for Direct Position Estimation
Haoqing Li, Shuo Tang, Peng Wu +1
Global Navigation Satellite System (GNSS) is pervasive in navigation and positioning applications, where precise position and time referencing estimations are required. Conventiona…
Bayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic Information
Francisco Pastor, Jorge García-González, Juan M. Gandarias +4
Recent advances in the field of intelligent robotic manipulation pursue providing robotic hands with touch sensitivity. Haptic perception encompasses the sensing modalities encount…
Jammer classification with Federated Learning
Peng Wu, Helena Calatrava, Tales Imbiriba +1
Jamming signals can jeopardize the operation of GNSS receivers until denying its operation. Given their ubiquity, jamming mitigation and localization techniques are of crucial impo…
NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS
Fabio Pavanello, Cedric Marchand, Ian O'Connor +34
This special session paper introduces the Horizon Europe NEUROPULS project, which targets the development of secure and energy-efficient RISC-V interfaced neuromorphic accelerators…
Dynamical Hyperspectral Unmixing with Variational Recurrent Neural Networks
Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas
Multitemporal hyperspectral unmixing (MTHU) is a fundamental tool in the analysis of hyperspectral image sequences. It reveals the dynamical evolution of the materials (endmembers)…
On Parametric Misspecified Bayesian Cramér-Rao bound: An application to linear Gaussian systems
Shuo Tang, Gerald LaMountain, Tales Imbiriba +1
A lower bound is an important tool for predicting the performance that an estimator can achieve under a particular statistical model. Bayesian bounds are a kind of such bounds whic…
Online Fusion of Multi-resolution Multispectral Images with Weakly Supervised Temporal Dynamics
Haoqing Li, Bhavya Duvvuri, Ricardo Borsoi +4
Real-time satellite imaging has a central role in monitoring, detecting and estimating the intensity of key natural phenomena such as floods, earthquakes, etc. One important constr…
Recursive classification of satellite imaging time-series: An application to land cover mapping
Helena Calatrava, Bhavya Duvvuri, Haoqing Li +5
Despite the extensive body of literature focused on remote sensing applications for land cover mapping and the availability of high-resolution satellite imagery, methods for contin…