关键词: YOLO算法, 线性调频连续波, 目标检测, SSD算法, 图像协同

Abstract: Artificial intelligence has been applied to various aspects of life, and the emergence of autonomous driving technology is a concrete manifestation of artificial intelligence in the automotive field. In order to detect complex targets on the road, a target detection algorithm based on linear frequency modulation continuous wave and image collaboration is adopted in the study. By analyzing the linear frequency modulation continuous wave and obtaining information on target orientation, distance, and velocity, a target detection model based on the YOLOv7 algorithm is proposed to detect complex targets on the road. The experimental results show that the target detection model has better detection performance for targets with lower speed, closer distance, and smaller angle, demonstrating better detection performance. Selecting different iterations to test the performance of the model, when the number of iterations reaches 600, the loss function value of the YOLOv7 algorithm model is 0.05, which is significantly lower than other algorithms.

Key words: YOLO algorithm, linear frequency modulation continuous wave, target detection, SSD algorithm, image collaboration