Automotive Software

Automotive software development is rapidly evolving, driven by the increasing complexity of vehicle systems and the integration of artificial intelligence. Current research focuses on improving software release processes through AI-powered decision-making systems, optimizing software architectures for autonomous driving (e.g., microservice architectures), and addressing challenges in data acquisition and annotation for training robust machine learning models, particularly for perception tasks. These advancements aim to enhance the safety, reliability, and efficiency of automotive software, impacting both the development lifecycle and the user experience.