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

Year: 2024

Type: article

Abstract: 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.

Source: Forum on research and innovation management.

DOI: 10.18686/frim.v2i6.4686

Authors: Ling Wu, Qiong Wu

Institution: East University Of Heilongjiang

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4404150400

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