This paper presents the Advanced Vehicle Safety and Management System (AVSMS), a comprehensive solution designed to enhance vehicular safety and performance through sensor fusion and intelligent automation. The AVSMS framework integrates functionalities such as automatic braking, collision warning, lane change assistance, traffic signal recognition, 360° situational awareness, geo-fencing, automated lighting, battery monitoring, and range estimation. Utilizing ultrasonic and infrared sensors, high-resolution imaging, GSM and GPS modules, and microcontrollers (Arduino and Raspberry Pi), the system enables real-time decision-making and proactive driver assistance. Experimental evaluation demonstrates high accuracy across key functionalities, affirming AVSMS as a scalable platform for future smart vehicle deployments with potential for AI-based predictive analytics.

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Integrated Advanced Vehicle Safety and Management System Using Sensor Fusion and Intelligent Automation

  • Mahendra Shridhar Naik,
  • A. Yasaswi,
  • H. L. Nikhil,
  • G. R. Manoj,
  • Rohan H. Savanth,
  • A. C. Tharun

摘要

This paper presents the Advanced Vehicle Safety and Management System (AVSMS), a comprehensive solution designed to enhance vehicular safety and performance through sensor fusion and intelligent automation. The AVSMS framework integrates functionalities such as automatic braking, collision warning, lane change assistance, traffic signal recognition, 360° situational awareness, geo-fencing, automated lighting, battery monitoring, and range estimation. Utilizing ultrasonic and infrared sensors, high-resolution imaging, GSM and GPS modules, and microcontrollers (Arduino and Raspberry Pi), the system enables real-time decision-making and proactive driver assistance. Experimental evaluation demonstrates high accuracy across key functionalities, affirming AVSMS as a scalable platform for future smart vehicle deployments with potential for AI-based predictive analytics.