关键词: YOLO-V3网络, 移动网络, 目标检测, FPGA, 深度学习

Abstract: To realize the intelligent identification and mounting of the collector box for the dual-powered trolley bus, an improved you only look once - version 3 (YOLO-V3) model with MobileNet as main stem based on YOLO-V3 of traditional Darknet was introduced. Through dealing with data sets, modelling and establishing training environment, the network was deployed and compared with traditional methods about model scale, recognition accuracy and processing speed. The simulation results showed that the proposed YOLO-V3 network had the higher precision with lower overhead. The improved YOLO-V3 network was realized in data processing units on FPGA platform. The real trolley bus running test results showed that the improved network was better than other traditional networks.

Key words: YOLO-V3 network, MobileNet, object detection, FPGA, deep learning