Technical Paper
MMW Radar Target Classification Based on Machine Learning and Ensemble Learning
2022-12-22
2022-01-7105
Although the video-based vehicle detection technology has the merit of low-cost, there are two obvious shortages: one is that the recognition effect is greatly affected by the weather and ambient lighting, and the other is that the amount of video data is large that may lead to the extra processing time. Compared with video-based and lidar-based technologies, millimeter-wave radar has some unique advantages in vehicle detection:(1) Sending and receiving signals are not affected by weather and illumination, and can perform all-weather measurements; (2) The cost is much lower than lidar, that is suitable for popularization; (3) The data processing and power consumption are superior to the vehicle detection system based on video processing. Therefore, this paper chooses FMCW-based millimeter-wave radar to build a vehicle detection system at an intersection.