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 development advanced assistance system (ADAS) algorithms specifically tailored for an electric bus (e-bus) to enhance proposed approach incorporates two key components: a 360-degree surround-view and behavior recognition utilizing You Only Look Once V5 (YOLO_V5) method. adoption YOLO_V5 in ADASs enables rapid response by processing multiple class probabilities region proposals within image instantaneously. Additionally, ADAS implementation includes processing-based OpenCV. In order evaluate performance regarding smart e-bus, comprehensive experimental studies were conducted. underwent rigorous testing using various images captured onboard camera. Similarly, system’s was verified diverse driving scenarios, including regular driving, parking, parking near-to-line situations. results demonstrate viability effectiveness system, validating its potential significantly improve safety buses. provides overview work accomplished emphasizing specific contributions YOLO_V5, validation conducted e-bus.