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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM54199
Volume:
9 |
11 |
Nov 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
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
Publication Date
11/19/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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