End-user oriented automated vehicles
Mentor: David Fernández Llorca
Email: david.fernandezl@uah.es
Phone: (+34) 918856682
University: Universidad de Alcalá
Partner Host Institution: ATOS
Keywords: cooperative autonomous vehicles; vulnerable road user (pedestrians & cyclists); user- centric; human factors in intelligent transportation systems; active safety systems; automation and control;

End-user oriented automated vehicles

Driver Assistance Systems (ADAS) have spread within the automotive industry, supporting the driver e.g. for braking, steering or automated systems like adaptive cruise control, automatic emergency braking or lane keeping assist. However, for automation level 3, these sub-functions require further developments concerning user acceptance to facilitate their adoption. Based on our previous and recent results on both, intelligent predictive methods for VRUs protection (IMPROVE project 2014-2017) and ITS-G5A V2X communications for cooperative automated driving (best team with fully automation at the Grand Cooperative Driving Challenge 2016), the main goal of EPIC proposal is to contribute to the adoption of automated vehicles by considering the needs and requirements of all the road users (drivers and VRUs), assuring safe and acceptable integration of key

Departament: Automatics
Research Group: INVETT – Intelligent Vehicles and Traffic Technologies
More Information: http://www.invett.es/index.php/
Relevants projects on the area: TÍTULO DEL PROYECTO: End-user oriented Predictive intelligent safe Interaction between Cooperative automated vehicles and VRUs (EPIC) ENTIDAD FINANCIADORA: Ministerio de Economía y Competitividad REFERENCIA: DPI2017-90035-R ENTIDADES PARTICIPANTES: Universidad de Alcalá DURACIÓN: Desde el 01 / 01 / 2018 hasta el 31 / 12 / 2020 INVESTIGADOR PRINCIPAL: David Fernández Llorca e Ignacio Parra Alonso. NÚMERO DE INVESTIGADORES PARTICIPANTES: 8 CUANTÍA TOTAL DEL PROYECTO: 170.000 €
Relevants publications on the area: 1.- D. F. Llorca, V. Milanés, I. Parra, M. Gavilán, J. Pérez, I. G. Daza, M. A. Sotelo. Autonomous Pedestrian Collision Avoidance using a Fuzzy Steering Controller. IEEE Transactions on Intelligent Transportation Systems, 2011 (JCR-IF-2011: 3.452; Q1)
2.- D. F. Llorca, R. Quintero, I. Parra, M. A. Sotelo. Recognizing individuals in groups in outdoor environments combining stereo vision, RFID and BLE. Cluster Computing, 2017 (JCR-IF-2016: 2.040; Q2).