Smart Driver Behavior Recognition and 360-Degree Surround-View Camera for Electric Buses
The automotive industry’s focus on driver-oriented issues underscores the critical importance of driver safety. This paper presents the development of advanced driver assistance system (ADAS) algorithms specifically tailored for an electric bus (e-bus) to enhance safety. The proposed approach incorp...
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Format: | Article |
Language: | English |
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MDPI AG
2023-07-01
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Series: | Electronics |
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Online Access: | https://www.mdpi.com/2079-9292/12/13/2979 |
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author | Mehmet Uğraş Cuma Çağrı Dükünlü Emrah Yirik |
author_facet | Mehmet Uğraş Cuma Çağrı Dükünlü Emrah Yirik |
author_sort | Mehmet Uğraş Cuma |
collection | DOAJ |
description | The automotive industry’s focus on driver-oriented issues underscores the critical importance of driver safety. This paper presents the development of advanced driver assistance system (ADAS) algorithms specifically tailored for an electric bus (e-bus) to enhance safety. The proposed approach incorporates two key components: a 360-degree surround-view system and driver behavior recognition utilizing the You Only Look Once V5 (YOLO_V5) method. The adoption of YOLO_V5 in ADASs enables rapid response by processing multiple class probabilities and region proposals within an image instantaneously. Additionally, ADAS implementation includes an image processing-based surround-view system utilizing OpenCV. In order to evaluate the performance of the proposed algorithms regarding a smart e-bus, comprehensive experimental studies were conducted. The driver behavior recognition system underwent rigorous testing using various images captured by an onboard camera. Similarly, the surround-view system’s performance was verified in diverse driving scenarios, including regular driving, parking, and parking in near-to-line situations. The results demonstrate the viability and effectiveness of the proposed system, validating its potential to significantly improve driver safety in electric buses. This paper provides a comprehensive overview of the work accomplished by emphasizing the specific contributions of the 360-degree surround-view system, driver behavior recognition using YOLO_V5, and the experimental validation conducted for an e-bus. |
first_indexed | 2024-03-11T01:42:45Z |
format | Article |
id | doaj.art-210bdfeaab0b4815845ad52bf0002fd6 |
institution | Directory Open Access Journal |
issn | 2079-9292 |
language | English |
last_indexed | 2024-03-11T01:42:45Z |
publishDate | 2023-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Electronics |
spelling | doaj.art-210bdfeaab0b4815845ad52bf0002fd62023-11-18T16:26:16ZengMDPI AGElectronics2079-92922023-07-011213297910.3390/electronics12132979Smart Driver Behavior Recognition and 360-Degree Surround-View Camera for Electric BusesMehmet Uğraş Cuma0Çağrı Dükünlü1Emrah Yirik2Electrical & Electronics Engineering, Çukurova University, Adana 01130, TürkiyeElectrical & Electronics Engineering, Çukurova University, Adana 01130, TürkiyeOttomotive Mühendislik ve Tasarım A.Ş., Bilişim Vadisi, Muallim Mah. Deniz Cad. No:143/6, Kocaeli 41400, TürkiyeThe automotive industry’s focus on driver-oriented issues underscores the critical importance of driver safety. This paper presents the development of advanced driver assistance system (ADAS) algorithms specifically tailored for an electric bus (e-bus) to enhance safety. The proposed approach incorporates two key components: a 360-degree surround-view system and driver behavior recognition utilizing the You Only Look Once V5 (YOLO_V5) method. The adoption of YOLO_V5 in ADASs enables rapid response by processing multiple class probabilities and region proposals within an image instantaneously. Additionally, ADAS implementation includes an image processing-based surround-view system utilizing OpenCV. In order to evaluate the performance of the proposed algorithms regarding a smart e-bus, comprehensive experimental studies were conducted. The driver behavior recognition system underwent rigorous testing using various images captured by an onboard camera. Similarly, the surround-view system’s performance was verified in diverse driving scenarios, including regular driving, parking, and parking in near-to-line situations. The results demonstrate the viability and effectiveness of the proposed system, validating its potential to significantly improve driver safety in electric buses. This paper provides a comprehensive overview of the work accomplished by emphasizing the specific contributions of the 360-degree surround-view system, driver behavior recognition using YOLO_V5, and the experimental validation conducted for an e-bus.https://www.mdpi.com/2079-9292/12/13/2979advanced driver assistance systemdriver behavior recognitionsurround viewyou only look once |
spellingShingle | Mehmet Uğraş Cuma Çağrı Dükünlü Emrah Yirik Smart Driver Behavior Recognition and 360-Degree Surround-View Camera for Electric Buses Electronics advanced driver assistance system driver behavior recognition surround view you only look once |
title | Smart Driver Behavior Recognition and 360-Degree Surround-View Camera for Electric Buses |
title_full | Smart Driver Behavior Recognition and 360-Degree Surround-View Camera for Electric Buses |
title_fullStr | Smart Driver Behavior Recognition and 360-Degree Surround-View Camera for Electric Buses |
title_full_unstemmed | Smart Driver Behavior Recognition and 360-Degree Surround-View Camera for Electric Buses |
title_short | Smart Driver Behavior Recognition and 360-Degree Surround-View Camera for Electric Buses |
title_sort | smart driver behavior recognition and 360 degree surround view camera for electric buses |
topic | advanced driver assistance system driver behavior recognition surround view you only look once |
url | https://www.mdpi.com/2079-9292/12/13/2979 |
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