Future Driver Assistance System Using Sensor Fusion and On-Board Diagnostic System
Dr. D.BANUMATHY
Associate Professor (Head Of The Department),
Department of Computer
Science and Engineering,
Paavai Engineering College,
Namakkal, Tamil Nadu, India
dr.sasiinfotech45@gmail.com
D.SIVARANJANI
Final Year,
Bachelors of Engineering
Computer Science and Engineering,
(622122104144)
dharmaraje124@gmail.com
V.DHANUSHYA
Final Year,
Bachelors of Engineering
Computer Science and Engineering,
(622122104032)
dhanuishanth3104@gmail.com
M.SINDHUJA
Final Year, Bachelors of Engineering,
Computer Science and Engineering,
(622122104143)
Sindhujeevi929@gmail.com
R. JERLIN JENOVA
Final Year, Bachelors of Engineering, Computer Science and Engineering,
(622122104060)
jerlinfelix07@gmail.com
Abstract— The rapid evolution of intelligent transportation systems had made vehicle safety, environmental sustainability, and driver assistance critical areas of research. This paper presents a future driver assistance system (FDAS) that integrates Sensor Fusion and OnBoard Diagnostics (OBD) for real-time vehicle monitoring and predictive maintenance. The system enhances driving safety and performance by combining data from multiple sensor—such as MEMS, infrared, temperature, and pressure sensor—with diagnostic information from the vehicle’s OBD interface. Through this fusion of mechanical, electrical and environmental data, the system provides drivers with predictive alerts, emission monitoring, and efficiency analysis. The proposed frame work aims to democratize intelligent vehicle technology, making it adaptable and adaptable and affordable for all vehicle types. Experimental results validate the system’s efficiency in early fault detection, emission tracking, and safe driving support, establishing its potential for next-generation driver assistance systems.
Keywords— Sensor fusion, On-Board Diagnostics(OBD), Driver assistance, Internet of things(IoT), predictive Maintenance, Emission Monitoring, Vehicle safety
