Research on Multi-Object Classification and Recognition Methods for Intelligent Vehicles Based on Deep Learning

With the development of intelligent transportation systems, multi-object classification and recognition for intelligent vehicles have become a key research direction in the fields of autonomous driving and intelligent transportation. Deep learning-based methods have become the mainstream approach to solving this problem. This paper reviews the deep learning-based multi-object classification and recognition techniques, analyzes the advantages and disadvantages of current mainstream methods, and discusses future research directions.