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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM39143

Lane Departure Warning System (LDWS) with Blind Spot Monitoring & Drowsiness Detection

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM39143

Volume:

8 |

11 |

Nov 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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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

PSM

Prof. S.H. More

MSAP

Ms. Shital Amar Patil

PAM

Prof. A.S. Mali

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Abstract

This paper presents the design and implementation of an Advanced Driver Assistance System (ADAS) featuring Lane Departure Warning, Obstacle Detection, Drowsiness Detection, Speed Control, and Braking Application. The system utilizes components including Raspberry Pi, USB camera, ultrasonic sensors, vibration sensor, LiDAR sensor, buzzer, and DC motors to create a comprehensive safety mechanism. Our proposed system aims to alert drivers of unintended lane departures, detect nearby obstacles, and autonomously adjust speed and braking in response to oncoming dangers. The experimental results demonstrate the efficiency of this system in reducing the likelihood of collisions and enhancing road safety.

KEYWORDS

LiDAR ADAS Raspberry Pi PWM Autonomous Vehicle Drowsiness

Cite This Article

Prof. S.H. More, Ms. Shital Amar Patil, Prof. A.S. Mali, "Lane Departure Warning System (LDWS) with Blind Spot Monitoring & Drowsiness Detection," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 11, Nov 2024.

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Publication Date

11/26/2024

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Double-Blind Peer Review

Review Rounds: 2

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