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Due to the poor ability of millimeter wave radar in recognizing distant static objects, target loss and incomplete information will occur when it recognizes the static target in front, thus increasing the false alarm rate and missing alarm rate of the radar-dependent driving assistant system, which will reduce the driving safety and the acceptability of the assistant system. Aiming at the radar's poor ability to recognize static targets, this paper uses a model based on machine learning algorithm to recognize and track targets. The radar signals are collected and processed in different conditions, and the results show that the radar has a poor recognition effect when the distance is more than 100 meters and the speed is more than 19m/s.

A series of model scale wind - tunnel tests of box van trucks and buses are developed using an aeronautical wind - tunnel in order to improve the aerodynamic performance of Chinese - made commercial vehicles. Some technical problems, such as the influence of Reynolds number, the correction for blockage ratio and the correction for support interference,are studied. A “Separating Model and Support (SMS) method” for measuring support interference is proposed. The aerodynamic drag force coefficients for typical Chinese - made box van truck and bus at zero yaw angle are diminished by 28.96 percent and 26.5 percent separately.

The test research of human exposure to whole-body vibration at lying posture have been performed. 69 Chinese subjects have born the vibration on a electrohydraulic vibration generator. The fundamental trend of comfort equal vibration sensation contours of human exposure to whole-body vibration at lying posture is obtained.