International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 1 January-March 2025 Submit your research before last 3 days of March to publish your research paper in the issue of January-March.

The Evolution and Impact of Advanced Driver-Assistance Systems

Author(s) Vijay Kumar Cheni
Country United States
Abstract Advanced Driver-Assistance Systems (ADAS) represent a transformative technological paradigm in automotive engineering, integrating sophisticated perception systems, driver monitoring capabilities, and automated functionalities to enhance vehicle safety and user experience. This comprehensive analysis explores the multifaceted dimensions of ADAS technologies, examining the sensor fusion architectures that enable enhanced environmental perception, the artificial intelligence algorithms powering driver monitoring systems, and the complex computational frameworks facilitating automated parking capabilities. The article investigates the technical foundations, implementation challenges, and evolutionary trajectory of these systems while considering their broader implications for automotive design, regulatory frameworks, and the incremental progression toward higher levels of vehicle autonomy. By synthesizing current technological capabilities with emerging developments, this exploration provides a holistic understanding of how ADAS technologies are reshaping the relationship between drivers, vehicles, and transportation infrastructure.
Keywords Sensor Fusion, Artificial Intelligence, Autonomous Functionality, Driver Monitoring, Environmental Perception.
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-28
Cite This The Evolution and Impact of Advanced Driver-Assistance Systems - Vijay Kumar Cheni - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2915
DOI https://doi.org/10.71097/IJSAT.v16.i1.2915
Short DOI https://doi.org/g896fn

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