Bayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic Information

Autor: Francisco Pastor, Daniel Medina, Pau Closas, Alfonso García-Cerezo, Juan M. Gandarias, Jorge García-González, Jesús M. Gómez-de-Gabriel

Recent advances in the field of intelligent robotic manipulation pursue providing robotic hands with touch sensitivity. Haptic perception encompasses the sensing modalities encountered in the sense of touch (e.g., tactile and kinesthetic sensations).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1074faf1fd7b0d3ec10127b0fb42b649

Robust Variational-Based Kalman Filter for Outlier Rejection With Correlated Measurements

Autor: Jordi Vila-Valls, Daniel Medina, Haoqing Li, Pau Closas

Publikováno v: IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2021, 69, pp.357-369. ⟨10.1109/TSP.2020.3042944⟩

International audience; State estimation is a fundamental task in many engineering fields, and therefore robust nonlinear filtering techniques able to cope with misspecified, uncertain and/or corrupted models must be designed for real-life applicabil

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b583e6eb339db97e28871595929c6d2a
https://doi.org/10.1109/tsp.2020.3042944

A Compact CRB for the Single Source Conditional Signal Model with Application to Delay-Doppler-Phase Estimation of Band-Limited Signals

Autor: Eric Chaumette, François Vincent, Daniel Medina, Jordi Vila-Valls, Lorenzo Ortega

Publikováno v: CDC

The derivation of tight estimation lower bounds is a key player to design and assess the performance of new estimators. In this contribution, we derive a new compact Cramer-Rao bound (CRB) for the conditional signal model, where the deterministic par

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d099cc4a191ebeab7a9169a1e4ec083a
https://doi.org/10.1109/cdc42340.2020.9303748

Evaluation of Estimators for Hybrid GNSS-Terrestrial Localization in Collaborative Networks

Autor: Lars Grundhofer, Daniel Medina, Niklas Hehenkamp

Publikováno v: ITSC

Global Navigation Satellite Systems (GNSS) constitute the cornerstone for outdoor positioning, which is essential information for prospective automated vehicles. The combination of GNSS with terrestrial ranging, for instance in the form of 5G or UWB,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c67581d46a1053edcb893653dea0a0e
https://elib.dlr.de/136438/

On the Recursive Joint Position and Attitude Determination in Multi-Antenna GNSS Platforms

Autor: Medina, Daniel, Vilà-Valls, Jordi, Heßelbarth, Anja, Ziebold, Ralf, García, Jesús

Publikováno v: Remote Sensing, Vol 12, Iss 1955, p 1955 (2020)
Remote Sensing
Remote Sensing, MDPI, 2020, 12 (12), pp.0. ⟨10.3390/rs12121955⟩
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname

International audience; Global Navigation Satellite Systems’ (GNSS) carrier phase observations are fundamental in the provision of precise navigation for modern applications in intelligent transport systems. Differential precise positioning require

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::19e27ceb2c0562cd78088024a317e599
https://doi.org/10.3390/rs12121955