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In today’s, Self-driving cars are one of the hot research topics in technology, which has a great
impact on social and economic development. Self-driving cars, powered by deep learning
algorithms, represent a groundbreaking fusion of artificial intelligence and transportation
technology. Deep learning is also one of the current major areas in artificial intelligence
research. It has been widely applied in natural language understanding, image processing, etc.
In recent years, more and more deep learning methods have been introduced to the solution
in the field of self-driving cars and have achieved excellent results. This survey provides
information related to self-driving cars and summarizes the application of deep learning
methods in the field of self-driving cars. Then the main problems in self-driving cars and their
solutions are analyzed based on deep learning methods, such as lane detection, scene
recognition and navigation etc. Also briefly described are some representative approaches to
self-driving cars using deep learning methods. Finally, future challenges in applications of deep
learning for self-driving cars are described.

Palak Verma Manoj Verma