Author: Ritika Sharma, Rajeev Mehta
Abstract: The rapid evolution of intelligent transportation systems has positioned Autonomous Parking Systems (APS) as a critical technological innovation in the automotive sector. This paper explores the architectural components, functional design, and real-world applications of APS, focusing on sensor fusion, machine learning algorithms, and vehicle-to-infrastructure (V2I) communication. With urbanization on the rise and space becoming a premium, APS offers efficient parking solutions, reduced emissions, and minimized human error. The study also assesses commercial deployments, safety challenges, and integration with smart city infrastructure. The adoption of APS reflects a paradigm shift toward sustainable and intelligent urban mobility.
Keywords: Autonomous Parking, Ultrasonic Sensors, Machine Learning, Urban Mobility, V2I Communication, Smart Vehicles, LiDAR.
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