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

Energies

Nicola Albarella¹  Francesco Masuccio²  Luigi Novella²  Giovanni Fiengo²  Manuela Tufo² 

[1] Department of Electrical Engineering and Information Technology, University of Napoli Federico II, 80125 Naples, Italy;Kineton S.r.l., 80146 Napoli, Italy;

关键词: ADAS;    forward collision warning;    active safety;    hardware-in-the-loop;    experimental tests;   

DOI  :  10.3390/en14164872

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown