Autonomous Self Driving System Using Deep Learning Appraoches and Impact

Self-driving vehicles are a popular topic of research in the fields of science and technology, having a significant impact on both economic and social growth. Deep learning is currently one of the most significant fields of study in artificial intelligence. It is currently utilized extensively in image analysis, natural language comprehension, etc. The subject of autonomous vehicles has seen a proliferation of deep learning-based technologies in recent times, with impressive outcomes. Recent ideas and implementations of deep learning for autonomous vehicles are discussed in this study. This review explains how autonomous vehicles have progressed and how deep learning techniques have been put to use in this industry. Finally, the most pressing issues in autonomous vehicles and how deep learning might help correct them are discussed. These include things including scene classification, object detection, lane detection, route planning, and navigation. Several examples of how deep learning is being used in autonomous vehicles are also summarized. Finally, some of the difficulties of implementing deep learning in automated driving are discussed.