International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 1Issue: 11 | Nov 2024
p-ISSN: 2395-0072
www.irjet.net
Revolutionizing Road Safety: A Raspberry Pi-Powered Journey through Advanced Driver Assistance Systems Tanmay Band1, Prerna Bharti2, Prajwal Thorat3, Akansha Chauhan4, Dr. Pradip Salve5 1Tanmay Band, Dept. of Mechanical Engineering, Ajeenkya D Y Patil University, Pune, India 2Prerna Bharti, Dept. of Computer Engineering, Ajeenkya D Y Patil University, Pune, India
3Prajwal Thorat, Dept. of Mechanical Engineering, Ajeenkya D Y Patil University, Pune, India 4Akansha Chauhan, Dept. of Computer Engineering, Ajeenkya D Y Patil University, Pune, India
5 Professor Dr. Pradip Salve, Dept. of School of Engineering, Ajeenkya D Y Patil University, Pune, India
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Abstract - An Advanced Driver Assistance Systems (ADAS) have significantly improved road safety by integrating features like
safe distance monitoring, emergency braking, lane detection, pedestrian detection, and sign recognition. In this study, we present the implementation of these ADAS functionalities using Raspberry Pi as the central processing unit along with essential hardware components such as L298N motor driver, servo motor, RPi camera, gear motors, wheels, jumper wires, and vehicle body. Each feature is meticulously explored, detailing the methodology of implementation and the obtained results. This research contributes to the advancement of ADAS technology, showcasing its practical application in enhancing driver awareness and mitigating the risks of road accidents, thus paving the way for safer and more efficient transportation systems. Key Words: Advanced Driver Assistance System, Raspberry Pi, Lane Detection, Pedestrian Detection, Sign Recognition.
1.INTRODUCTION In recent years, the automotive industry has witnessed a remarkable transformation with the advent of Advanced Driver Assistance Systems (ADAS), which are designed to augment driver awareness, improve road safety, and ultimately, reduce the likelihood of accidents. The integration of sophisticated sensors, actuators, and computational algorithms has enabled vehicles to perceive their surroundings, anticipate potential hazards, and assist drivers in making informed decisions. As a result, ADAS technology has emerged as a pivotal driver towards achieving the vision of autonomous driving and ushering in a new era of transportation safety and efficiency. One of the key motivations behind the development of ADAS is the pressing need to address the alarming rate of road accidents worldwide. According to statistics from the World Health Organization (WHO), road traffic injuries are a leading cause of death globally, with millions of lives lost and countless more suffering from debilitating injuries each year. Many of these accidents are attributed to human error, such as driver distraction, fatigue, or impaired judgment, underscoring the critical role of technology in mitigating such risks. ADAS represents a proactive approach towards enhancing road safety by augmenting human capabilities with intelligent assistance systems that can detect, analyze, and respond to potential hazards in real-time. The foundation of ADAS lies in the fusion of advanced sensing technologies, computational intelligence, and human-machine interaction principles. Sensors such as radar, lidar, cameras, and ultrasonic devices serve as the eyes and ears of the vehicle, capturing rich data about the surrounding environment, including the position of other vehicles, pedestrians, road signs, and lane markings. These sensor data are processed by onboard computers equipped with sophisticated algorithms that interpret the information, recognize patterns, and generate actionable insights. Through seamless integration with vehicle control systems, ADAS functionalities can manifest as warning alerts, automatic braking, steering assistance, and adaptive cruise control, among others, thereby augmenting driver capabilities and enhancing overall safety. Rapid advancements in microelectronics, sensor technology, and artificial intelligence have accelerated the evolution of ADAS from mere conceptual frameworks to practical, commercially available systems deployed in mainstream vehicles. Manufacturers across the automotive industry are increasingly incorporating ADAS features into their vehicle lineup, ranging from entry-level sedans to luxury SUVs, reflecting the growing demand for safer, smarter transportation solutions. Moreover, regulatory agencies and safety organizations have recognized the potential of ADAS in reducing road accidents and have mandated the inclusion of certain safety features, such as automatic emergency braking and lane departure warning, in new vehicles.
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