As the functions of ADAS system are gradually general and play an increasingly important role in driving tasks, it has high requirements on the reliability and safety of ADAS system. It is necessary to validate ADAS system in various complex traffic conditions to test whether it can correctly identify and deal with various dangerous situations. ADAS system simulation test method includes software in the loop (SIL), hardware in the loop (HIL), vehicle in the loop (VIL) and represented by closed field and open road represented by the real vehicle test method, real vehicle test is difficult to cover dangerous or extreme scenarios, simulation test in the test coverage and test efficiency has irreplaceable advantages.
Although most simulation platforms have the ability of sensor modeling simulation, vehicle dynamics modeling simulation and traffic scene construction simulation, most of the simulation models are built under ideal conditions, and the confidence level of the results obtained by simulation has not been evaluated by specific quantifiable indicators. In this paper, based on the hardware simulation test of ADAS function, compare the actual road test results in real physical environment, and analyze the error of the simulation test to provide reference for the simulation confidence study.
The vehicle can achieve stable control, which is very important for the handling stability and safety of the vehicle. The vehicle ESP algorithm needs to be fully tested during the development process to ensure that the algorithm has good functionality and robustness. The commonly used algorithm testing methods usually include software-in-the-loop testing, hardware-in-the-loop testing, real vehicle testing and other means. This paper studies how to test the vehicle ESP algorithm through the driver-in-loop test. This test method can take into account the subjective feelings of drivers while ensuring safety.
In the process of intelligent driving simulation test, the vehicle dynamics model has a certain impact on the simulation results. In order to study how to calibrate the parameters of vehicle dynamics model based on intelligent driving simulation test, the vehicle dynamics model is built based on Carmaker dynamics software platform and real vehicle data. Select the typical test conditions, one is the test conditions for the longitudinal characteristics of the vehicle; The other is the test condition for vehicle lateral characteristics. Through the benchmarking analysis between the simulation analysis results and the field test results of the real vehicle, we can evaluate whether the longitudinal and transverse performance of the built dynamic model meets the requirements of intelligent driving simulation.
Many researchers found that traffic accidents occur mainly because of driving stress and driving behavior. The purpose of this study is to investigate the effect of roadway conditions on driving stress by using Heart Rate Variability (HRV). The study used a heart rate sensor, and a video camera to collect data and carried out time-domain and frequency-domain analysis of HRV by using the MATLAB analysis software. The results showed that drivers experience different driving stresses depending on roadway conditions. In particular, highly crowded places and those requiring attention such as mixed roads, lane-changing points, jaywalking places, rough and bad pavements, traffic congestion areas, and flyover are the most stressful segments along the roadway for drivers.
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