Study of Urban Road Identification Through Deep Learning Algorithms

With the acceleration of urbanization, traffic congestion and road safety problems are becoming increasingly prominent. Thanks to the invention of autonomous driving technology, these problems can now be solved in a new way. Urban road recognition is a key component of autonomous driving technology, and its accuracy and real-time performance are crucial to the performance of autonomous driving systems. This paper proposes an urban road recognition method based on a deep learning algorithm and designs an urban road recognition car. By building a simulated highway, the deep learning algorithm is used to achieve efficient and accurate road recognition, providing a reliable idea for artificial intelligence driving.