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Article

A Forward-Collision Warning System for Electric Vehicles: Experimental Validation in Virtual and Real Environment

1
Department of Electrical Engineering and Information Technology, University of Napoli Federico II, 80125 Naples, Italy
2
Kineton S.r.l., 80146 Napoli, Italy
3
Department of Engineering, University of Sannio, 82100 Benevento, Italy
*
Author to whom correspondence should be addressed.
Energies 2021, 14(16), 4872; https://doi.org/10.3390/en14164872
Submission received: 6 July 2021 / Revised: 1 August 2021 / Accepted: 6 August 2021 / Published: 10 August 2021
(This article belongs to the Collection Women in Electric Vehicles)

Abstract

Driver behaviour and distraction have been identified as the main causes of rear end collisions. However a promptly issued warning can reduce the severity of crashes, if not prevent them completely. This paper proposes a Forward Collision Warning System (FCW) based on information coming from a low cost forward monocular camera for low end electric vehicles. The system resorts to a Convolutional Neural Network (CNN) and does not require the reconstruction of a complete 3D model of the surrounding environment. Moreover a closed-loop simulation platform is proposed, which enables the fast development and testing of the FCW and other Advanced Driver Assistance Systems (ADAS). The system is then deployed on embedded hardware and experimentally validated on a test track.
Keywords: ADAS; forward collision warning; active safety; hardware-in-the-loop; experimental tests ADAS; forward collision warning; active safety; hardware-in-the-loop; experimental tests

Share and Cite

MDPI and ACS Style

Albarella, N.; Masuccio, F.; Novella, L.; Tufo, M.; Fiengo, G. A Forward-Collision Warning System for Electric Vehicles: Experimental Validation in Virtual and Real Environment. Energies 2021, 14, 4872. https://doi.org/10.3390/en14164872

AMA Style

Albarella N, Masuccio F, Novella L, Tufo M, Fiengo G. A Forward-Collision Warning System for Electric Vehicles: Experimental Validation in Virtual and Real Environment. Energies. 2021; 14(16):4872. https://doi.org/10.3390/en14164872

Chicago/Turabian Style

Albarella, Nicola, Francesco Masuccio, Luigi Novella, Manuela Tufo, and Giovanni Fiengo. 2021. "A Forward-Collision Warning System for Electric Vehicles: Experimental Validation in Virtual and Real Environment" Energies 14, no. 16: 4872. https://doi.org/10.3390/en14164872

APA Style

Albarella, N., Masuccio, F., Novella, L., Tufo, M., & Fiengo, G. (2021). A Forward-Collision Warning System for Electric Vehicles: Experimental Validation in Virtual and Real Environment. Energies, 14(16), 4872. https://doi.org/10.3390/en14164872

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