In order to study the performance of the combined driving assistance system in the pedestrian crossing scenario, this paper selects two scenarios of pedestrian crossing with shelter and pedestrian crossing without shelter, selects three representative vehicles for testing, analyzes the difference of these vehicles, include braking time, braking effect and other data, and puts forward improvement suggestions.
According to the relevant statistics, some traffic accidents are caused by forward collision avoidance actions. During such a situation, the forward car engages in emergency avoidance operations, whereas the car behind has a short time to discover and avoid the danger, resulting in a major traffic accident. With the development of intelligent connected vehicles, driving assistance systems (DAS) will also have to contend with such extreme situations. When evaluating the performance of DAS, it is important to determine whether it can avoid forward collisions.
With the rapid development of intelligent driving technology, autonomous vehicle following system has been widely used. In this paper, the technical characteristics, test methods and standards of the current autonomous following system are analyzed. Combining with the capability and ODD of the autonomous following system of vehicles on sale, a vehicle test and evaluation method of the autonomous following system is proposed, and a reasonable and feasible test technical scheme is put forward. The proposed test evaluation method and test technical scheme were verified by using automatic driving robot, GST and SCT and other test equipment. The test results show that there is space for further refinement in the evaluation of comfort, and the evaluation of safety can represent the safety of the tested vehicle in a relatively comprehensive way
With the rapid development of intelligent driving technology, Lane Keeping Assistance System has been widely used. This paper analyzes the technical characteristics and testing standards of the Lane Keeping Assistance System, researches on the test scenarios and test methods of straight line and curve line, and proposes a reasonable and feasible testing technology scheme. By using auto-driving robot and RT series inertial navigation, the proposed test method and technical scheme are verified.
The related standards of driver condition monitoring have attracted the attention of the industry, since there’re more traffic accidents due to poor driving behaviors. Based on the principles and product status of driver attention monitoring system, and the comparison of the current related test standards, this paper puts forward its test method and scheme. Moreover, the road test of the certain product is conducted, and test methods of driver attention monitoring system are also prospected in this paper.
CUT-IN is a typical scenario in the process of normal driving, so the ADAS needs to deal with the scenario of cut-in when assisting the driver. In the "CCRT (Intelligent Electric Vehicle) Management Regulation (2020 Edition)" issued by China Automotive Technology and Research Center Co., Ltd in December 2020, the test and evaluation of the cut-in is added. From the test results, it is found that the performance of different models on the scenario of the cut-in is very different. This paper analyzes the scenario of cut-in from the perspective of track test, and summarizes the control strategy of the vehicle. Through analysis, it is found that lane change intention of the target vehicle needs to be found earlier, in order to avoid collision in the cut-in scenario. Therefore, Angle radar needs to be used and the lateral velocity of the target vehicle needs to be detected.
Two-wheelers are widely used transportation tools in daily life, it also caused serious safety issues in providing convenience. To improve the road safety, in the China New Car Assessment Programme Management Regulation (CNCAP 2021 Edition), the test and evaluation of the autonomous emergency braking two-wheeler scenario is added based on the research of traffic accident data. This paper introduced the research methods and summarizes the three typical test scenario: car-to-cicyclist nearside adult test scenario, car-to-scooter farside adult test scenario, car-to-bicyclist longitudinal adult test scenario, and made an outlook for the future test scenarios.
With the continuous development of sensor technology and the increasing requirements of consumers for automobile functions, the blind zone monitoring system is almost standard for middle and high-end models in the market at present. In this paper, a testing method of vehicle-to-vehicle blind spot monitoring system is proposed by using automatic driving robot, inertial navigation combined system and data acquisition device based on the actual road conditions in China. After the actual vehicle test, the test method can accurately read the alarm time and relative distance parameters of the blind spot monitoring system, which verifies the validity and feasibility of the test method, and has reference significance for the automotive inspection industry.
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