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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM39927

Review on Advanced Driver Assistance System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM39927

Volume:

8 |

12 |

Dec 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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.

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Authors

PMD

Prof. Minakshi Dobale

MPS

Ms. Priyanka Sakharkar

MTP

Ms. Tanuja Pandav

MST

Ms. Samiksha Titare

MJT

Ms. Janhavi Tapre

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Abstract

This project aims to develop an affordable and efficient Advanced Driver Assistance System (ADAS) using Raspberry Pi, integrating lane detection and tire pressure monitoring systems (TPMS) to enhance vehicle safety. The lane detection system utilizes a camera and computer vision algorithms to detect lane markers and maintain the vehicle’s position within the lane, preventing lane departure. The TPMS employs proximity and Hall effect sensors to monitor tire pressure, detecting sudden pressure drops that could lead to accidents. In case of a significant tire pressure drop, the system triggers an alert and automatically initiates braking to stop the vehicle, ensuring driver safety. By combining these two safety-critical features, the system offers real-time monitoring and proactive interventions at a low cost, making it an effective solution for improving road safety and vehicle stability. This ADS design provides a reliable, low-cost alternative to existing commercial systems. Top of Form

KEYWORDS

Advanced Driver Assistance System (ADAS) Lane Detection Tire Pressure Monitoring System (TPMS) Raspberry Pi Vehicle Safety.

Cite This Article

Prof. Minakshi Dobale, Ms. Priyanka Sakharkar, Ms. Tanuja Pandav, Ms. Samiksha Titare, Ms. Janhavi Tapre, "Review on Advanced Driver Assistance System," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 12, Dec 2024.

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Publication Date

12/19/2024

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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4

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5

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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