The Evolution and Impact of Advanced Driver-Assistance Systems
Year: 2025
Type: article
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.
Author: Vijay Kumar Cheni -
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408943463