Design and implementation of algorithms for data prioritization and dissemination in autonomous vehicular networks

This thesis investigates the potential improvements in traffic awareness achieved by collaboration among autonomous vehicles (AVs) through cooperative perception. The goal is to share the information about the obstacles detected from one AV sensors to nearby intelligent vehicles. To achieve this, the study aims to make a prioritization of the data collected by defining various scoring functions. The information are evaluated based on its relevance in different contexts, with the focus on collision awareness. The study aims to assess the effectiveness of an algorithm that achieve comprehensive awareness among all vehicles in close proximity, prioritizing collected data, targeting optimal communication with minimal resource consumption.