Research on the Application of Target Detection Algorithm in the Field of Unmanned Driving

Based on the rapid development of deep learning and the application of high-performance embedded devices, the fusion application of target detection algorithms based on deep convolutional neural networks in the field of unmanned driving is described. Through the research of two types of target detection algorithms based on candidate regions and regression, an example of the application process of YOLO (You Only Look Once) real-time target detection series algorithms for target detection on traffic roads is proposed. Vehicles can have better road sign recognition capabilities, providing the basis for vehicle unmanned behavior decision-making.