Integrating Cognitive Architecture into ADAS for Enhanced Decision-Making in Autonomous and Semi-Autonomous Vehicles

This project, “Integrating Cognitive Architecture into ADAS for Enhanced Decision-Making in Autonomous and Semi-Autonomous Vehicles,” focuses on improving vehicle safety systems through advanced cognitive models. Our objectives include developing a decision-making framework that mimics human cognitive processes, enhancing the performance of driver assistance systems. The intern will gain expertise in cognitive architectures, machine learning, and system integration, contributing to safer automotive technologies. This initiative will support our health organization by advancing research into technologies that prevent accidents and improve road safety, aligning with broader health and safety goals.