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Dr. A. Mekala is an Assistant Professor in the Department of Computer Science (PG) at Sacred Heart College, Tirupattur, Tamil Nadu. Her contribution focuses on deep learning applications in autonomous and connected vehicles.
The swift advancement of self-driving and interconnected vehicles has generated an increasing need for sophisticated technologies that can comprehend intricate driving contexts, analyse substantial amounts of sensor information, and execute instantaneous decisions. Deep learning has become a crucial technique for facilitating observation, forecasting, decision-making, and regulation in intelligent transportation systems. This section elucidates the foundational concepts and primary utilisations of deep learning in self-driving and interconnected automobiles.The section additionally explores the amalgamation of deep learning with Vehicle-to-Vehicle, Vehicle-to-Infrastructure, and Vehicle-to-Cloud communication to advance collaborative and interconnected transportation frameworks. Innovative technologies include edge AI, federated learning, digital twins, explainable AI, and generative AI are examined in further detail. A comprehensive deep learning framework for self-driving and connected automobiles is introduced, along by an examination of issues pertaining to real-time processing, safety, cybersecurity, data privacy, robustness, and interpretability. The chapter offers an extensive examination of how deep learning might facilitate the advancement of secure, intelligent, adaptable, and interconnected mobility systems.