Vehicle Collision Avoidance in NLoS Scenarios Using Machine Learning-Assisted Positioning and MQTT
Intersections have long been recognized as high-risk areas for traffic accidents, with vehicle collisions in Non-Line-of-Sight (NLoS) scenarios resulting in significant economic and human losses. This thesis investigates a vehicle collision avoidance system that integrates Machine Learning (ML), wireless communication technologies, and sensor fusion with Global Navigation Satellite System (GNSS) p
