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Design and Development of Advanced Driver Assistant System using Raspberry Pi
Authors
Sudesh Rajaram Patil,Rushikesh Somnath Mirajkar,Amit Ajit Patil,Sujay Dhananjay Kulkarni,Aditya Madhuri Patil
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Keywords
ADAS stands for "Advanced Driver Assistance Systems." It refers to a set of technologies and features implemented in vehicles to enhance safety, improve driving experience, and assist drivers in various ways. ADAS technologies use sensors, cameras, radar and other advanced hardware to provide real-time information and automate certain tasks, ultimately reducing the risk of accidents and improving overall road safety. Key features and components of ADAS includes like Collision Avoidance
Abstract
In this project, we present a comprehensive exploration into the design and development of an Advanced Driver Assistant System (ADAS) leveraging the capabilities of Raspberry Pi. The system is meticulously crafted to address critical aspects of driver safety and assistance through an array of advanced functionalities. Our approach integrates a Raspberry Pi as the central processing unit, enabling efficient and scalable computation for real-time image processing and analysis. A combination of cameras and sensors forms the sensory apparatus, capturing and interpreting the surrounding environment. Through sophisticated algorithms, the system offers features such as lane departure warnings, real-time collision detection, and adaptive cruise control.
The core objective is to augment driver safety by providing timely and accurate alerts, thereby reducing the risk of accidents. The implementation on the Raspberry Pi platform ensures a compact, cost-effective, and easily deployable solution. We delve into the intricacies of the image processing pipeline, sensor fusion techniques, and algorithmic intricacies that empower the ADAS to make informed decisions. This project not only contributes to the advancement of ADAS technology but also serves as a foundation for future developments in intelligent transportation systems. By embracing the versatility of Raspberry Pi, we present a robust and accessible solution poised to enhance overall road safety and redefine the driving experience.
IJCRT's Publication Details
Unique Identification Number - IJCRT24A4292
Paper ID - 256746
Author type - Indian Author
Page Number(s) - l269-l273
Pubished in - Volume 12 | Issue 4 | April 2024
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No Of Downloads - 57
Author Country - India, 415313, Sangli , Sangli , 415313, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Sudesh Rajaram Patil,Rushikesh Somnath Mirajkar,Amit Ajit Patil,Sujay Dhananjay Kulkarni,Aditya Madhuri Patil, "Design and Development of Advanced Driver Assistant System using Raspberry Pi", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.l269-l273, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A4292.pdf
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