Motion Control for Autonomous Tugger Vehicles in Dynamic Factory Floors Shared with Human Operators. - Luis Louro; Tiago Malheiro; Pedro M. F. Guimarães; Toni Machado; Sergio Monteiro; Pedro Vaz Silva; Wolfram Erlhagen; Estela Bicho (IECON, 2019)

Dynamic Identification of Stop Locations from GPS Trajectories Based on Their Temporal and Spatial Characteristics. - Flora J. Ferreira; Weronika Wojtak; Carlos Fernandes; Pedro M. F. Guimarães; Sérgio Monteiro; Estela Bicho; Wolfram Erlhagen (ICANN (4), 2021)

Towards Endowing Intelligent Cars with the Ability to Learn the Routines of Multiple Drivers: A Dynamic Neural Field Model. - Weronika Wojtak; Flora J. Ferreira; Pedro M. F. Guimarães; Paulo Barbosa; Sérgio Monteiro; Wolfram Erlhagen; Estela Bicho (ICCSA (4), 2021)

A Data Recording Mobile Application to Create Datasets of Vehicle Users' Routines. - Pedro M. F. Guimarães; Flora J. Ferreira; Ana Carolina Silva; Wolfram Erlhagen; Sérgio Monteiro; Estela Bicho (ICARSC, 2022)

Endowing Intelligent Vehicles with the Ability to Learn User's Habits and Preferences with Machine Learning Methods. - Paulo Barbosa; Flora J. Ferreira; Carlos Fernandes; Wolfram Erlhagen; Pedro M. F. Guimarães; Weronika Wojtak; Sérgio Monteiro; Estela Bicho (IDEAL, 2022)

A Machine Learning Approach for Points of Interest Extraction and Event Classification. - Pedro Dias; Flora J. Ferreira; Pedro M. F. Guimarães; Weronika Wojtak; Wolfram Erlhagen; Sérgio Monteiro; Emanuel Sousa; Estela Bicho (AIAI (4), 2024)

A Dynamic Neural Field Approach for Intelligent Cockpits: Online Learning and Prediction of Traveling Routines. - Pedro M. F. Guimarães; Flora J. Ferreira; Weronika Wojtak; Paulo Barbosa; Sérgio Monteiro; Estela Bicho; Wolfram Erlhagen (IEEE Trans. Intell. Transp. Syst., 2024)