IoT-Integrated Autonomous Vehicles: A Comprehensive Study of Sensing, Processing, and Decision Making
Abstract The integration of the Internet of Things (IoT) in autonomous vehicles has revolutionized intelligent transportation, enabling seamless sensing, data processing, and real-time decision-making. Autonomous vehicles leverage IoT-enabled sensors such as LiDAR, radar, cameras, and ultrasonic systems to perceive their surroundings with high precision. These sensors continuously collect vast amounts of environmental data, which is processed through edge and cloud computing frameworks. IoT facilitates vehicle-to-everything (V2X) communication, allowing autonomous systems to exchange information with infrastructure, other vehicles, and pedestrians to enhance situational awareness and safety. Machine learning algorithms embedded within IoT architectures analyse sensor data to support predictive modelling and autonomous decision execution. This paper explores the IoT-driven framework for autonomous vehicle sensing, data processing, and adaptive decision-making, highlighting key advan...