Human Driving Focus

Human driving focus research investigates how attention is directed during driving tasks, aiming to improve driver assistance systems and autonomous vehicle safety. Current research emphasizes developing models that efficiently process visual information, often employing transformer architectures, convolutional neural networks, and recurrent neural networks to achieve accurate object detection, scene understanding, and action prediction. This work is significant for enhancing the reliability and safety of both human-driven and autonomous vehicles by improving perception and decision-making capabilities in complex driving scenarios.