On 17-19 November 2021, the AB4RAIL Scientific Board participated in the AEIT International Conference on Electrical and Electronic Technologies for Automotive (AUTOMOTIVE 2021).
Starting from the research of AB4RAIL, the authors have extended and presented various studies that deal with topics such as support for autonomous driving, detection of people at the bus stop and the discovery of people in difficulty in woods or mountainous areas. They have used technologies such as the Internet of Things, Convolutional Neural Networks, Unmanned Aerial Vehicle and Blockchain.
Keynote
Today (18 Nov. 2021), Prof. Franco Mazzenga had a keynote speech entitled “Adaptable Communication System (ACS): an alternative approach for the future communications in the transport sector”, with authors R. Giuliano – Università degli Studi Guglielmo Marconi, F. Mazzenga – Università di Roma Tor Vergata, A.M. Vegni – Università Roma TRE, A. Vizzarri – Università di Roma Tor Vergata.
The recent technological innovations in the area of “smart mobility” concern the different fields of transport sector, such as rail, automotive, Unmanned Aerial Vehicle (UAV) and Urban Aerial Mobility (UAM). Telecommunication networks allow integrating an increasing number of applications in every sector of mobility.
The Adaptable Communication System (ACS), actually used for railway applications and currently under investigation in the Alternative Bearers for Rail – AB4RAIL project (www.ab4rail.eu, No. 101014517) funded by Shift2Rail Joint Undertaking and European Union’s Horizon 2020 research and innovation programs), adopts an innovative approach for train-to-ground communications, which could also be applicable to the automotive sector and industry.
Here the Research Publications presented:
[1]. R. Giuliano, F. Mazzenga, A. V. Vegni, A. Vizzarri, “Adaptable Communication System (ACS) for Flexible Communications in the Transport Sector: the AB4Rail project experience”, 2021 AEIT International Conference on Electrical and Electronic Technologies for Automotive (2021 AEIT AUTOMOTIVE), Virtual Conference, Nov. 2021.
[2]. A. Calderone, R. Giuliano, “Emulation of Rail and Automotive Applications based on Adaptable Communication System”, 2021 AEIT International Conference on Electrical and Electronic Technologies for Automotive (2021 AEIT AUTOMOTIVE), Virtual Conference, Nov. 2021.
[3]. E. Innocenti, R. Giuliano, “CNN-based Passenger Detector for Public Transport Vehicles”, 2021 AEIT International Conference on Electrical and Electronic Technologies for Automotive (2021 AEIT AUTOMOTIVE), Virtual Conference, Nov. 2021.
[4]. L. Cotugno, F. Mazzenga, A. Vizzarri, R. Giuliano, “The major opportunities of Blockchain for Automotive Industry: a Review”, 2021 AEIT International Conference on Electrical and Electronic Technologies for Automotive (2021 AEIT AUTOMOTIVE), Virtual Conference, Nov. 2021.
For more information, please visit the official Conference website
