A Forward-Collision Warning System for Electric Vehicles: Experimental Validation in Virtual and Real Environment
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 c...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/16/4872 |
| _version_ | 1797524057421250560 |
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| author | Nicola Albarella Francesco Masuccio Luigi Novella Manuela Tufo Giovanni Fiengo |
| author_facet | Nicola Albarella Francesco Masuccio Luigi Novella Manuela Tufo Giovanni Fiengo |
| author_sort | Nicola Albarella |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T08:51:55Z |
| format | Article |
| id | doaj.art-ad60892d77af4a40a925c22d28a7aa2b |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T08:51:55Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-ad60892d77af4a40a925c22d28a7aa2b2023-11-22T07:28:37ZengMDPI AGEnergies1996-10732021-08-011416487210.3390/en14164872A Forward-Collision Warning System for Electric Vehicles: Experimental Validation in Virtual and Real EnvironmentNicola Albarella0Francesco Masuccio1Luigi Novella2Manuela Tufo3Giovanni Fiengo4Department of Electrical Engineering and Information Technology, University of Napoli Federico II, 80125 Naples, ItalyKineton S.r.l., 80146 Napoli, ItalyKineton S.r.l., 80146 Napoli, ItalyKineton S.r.l., 80146 Napoli, ItalyKineton S.r.l., 80146 Napoli, ItalyDriver 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.https://www.mdpi.com/1996-1073/14/16/4872ADASforward collision warningactive safetyhardware-in-the-loopexperimental tests |
| spellingShingle | Nicola Albarella Francesco Masuccio Luigi Novella Manuela Tufo Giovanni Fiengo A Forward-Collision Warning System for Electric Vehicles: Experimental Validation in Virtual and Real Environment Energies ADAS forward collision warning active safety hardware-in-the-loop experimental tests |
| title | A Forward-Collision Warning System for Electric Vehicles: Experimental Validation in Virtual and Real Environment |
| title_full | A Forward-Collision Warning System for Electric Vehicles: Experimental Validation in Virtual and Real Environment |
| title_fullStr | A Forward-Collision Warning System for Electric Vehicles: Experimental Validation in Virtual and Real Environment |
| title_full_unstemmed | A Forward-Collision Warning System for Electric Vehicles: Experimental Validation in Virtual and Real Environment |
| title_short | A Forward-Collision Warning System for Electric Vehicles: Experimental Validation in Virtual and Real Environment |
| title_sort | forward collision warning system for electric vehicles experimental validation in virtual and real environment |
| topic | ADAS forward collision warning active safety hardware-in-the-loop experimental tests |
| url | https://www.mdpi.com/1996-1073/14/16/4872 |
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