Author : Kumar Hreetik,Sanjay Shankar Tripathy,Swapnil Balpande,Nimbu Mallabadi
Date of Publication :15th May 2024
Abstract: In recent years, Advanced Driver Assistance Systems (ADAS) have emerged as a critical component in automotive safety, paving the way for enhanced vehicle control, accident prevention, and overall road safety The evolution of ADAS from basic assistance features to more sophisticated systems capable of autonomous driving functionalities is discussed, highlighting the key technological innovations driving this progression.
Many accidents are reported each year as a result of speeding and making poor decisions. Moreover, this paper delves into the underlying principles and components of ADAS, including sensors, actuators, and control algorithms, elucidating their roles in enabling real-time decision-making and proactive safety interventions. Furthermore, it explores recent developments in sensor fusion techniques, machine learning algorithms, and vehicle-to-vehicle communication protocols, which collectively contribute to the robustness and reliability of ADAS systems in diverse driving conditions. Additionally, this paper examines the regulatory landscape and industry standards governing the deployment of ADAS technologies, addressing challenges related to interoperability, cybersecurity, and ethical considerations
The Advanced Driver Assistance Systems continue to expand their functionalities. This article reviews the most widely utilized available technology for ADAS and describes their application areas.
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