Author: Dr. Anjali Verma, Mr. Rohit Sharma
Abstract: Advanced Driver Assistance Systems (ADAS) have significantly enhanced vehicular safety and driver convenience in modern automobiles. The integration of Artificial Intelligence (AI) into ADAS marks a transformative leap, enabling more accurate perception, decision-making, and adaptive responses to complex driving environments. This paper explores the synergistic convergence of AI technologies such as machine learning, computer vision, and sensor fusion within ADAS frameworks. It highlights AI-driven functionalities including adaptive cruise control, lane-keeping assist, and collision avoidance systems, emphasizing their role in advancing towards autonomous driving. Challenges in data processing, real-time analytics, and ethical considerations are also discussed. Through a comprehensive analysis, this paper underscores how AI integration is pivotal in redefining vehicle safety standards and shaping the future of intelligent transportation systems.
Keywords: Artificial Intelligence, Advanced Driver Assistance Systems, Machine Learning, Autonomous Vehicles, Computer Vision, Sensor Fusion
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