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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Main Authors: Mehmet Uğraş Cuma, Çağrı Dükünlü, Emrah Yirik
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Electronics
Subjects:
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.
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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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