In recent years, there have been an increasing number of traffic accidents resulting in fatalities and injuries due to collisions between the passengers or drivers opening the car door and objects coming from behind. The attention from OEMs on door opening warning (DOW) systems is insufficient, and the proportion of vehicles equipped with DOW system is not high. At present, there are no national standards and testing protocols published for DOW system in China, and there is a lack of unified requirements on the functions of DOW system. Based on the analysis of relevant accident data and traffic scenarios in China, as well as research on existing domestic and international protocols and standards, testing scenarios for DOW system that meet the real road traffic conditions in China will be included in the 2024 version C-NCAP Protocol. The author briefly explains the analysis results of accident data related to DOW system; introduces the testing scenarios as well as evaluation criteria for DOW system in 2024 version C-NCAP Protocol; elaborates on the newly developed targets with Chinese characteristics.
Blind Area Detection System (BSD) plays a positive role in reducing the occurrence of car accidents. This paper selected the test data of 16 cars passing through the C-NCAP(2021 edition) BSD C2C overtaking scene, and the box diagram is used for statistical analysis of the data. It is found that the warning time TTC of vehicles equipped with a BSD system is reasonable at present, which plays a safety warning role and will not cause too much discomfort to users. However, the alarm timing of the BSD system of a few vehicles is not suitable enough, which still needs to be improved. In addition, after the target vehicle crosses the test rear, the BSD system should use a more urgent alarm method to remind it.
The Rear Cross Traffic Alert (RCTA) system can effectively keep drivers away from the danger of rearward collision, but the level of the RCTA system varies from vehicle to vehicle. There is a lack of a common test method to verify whether the RCTA system is effective. In this paper, by analyzing the functional principles and solutions of RCTA, the testing and evaluation method of the RCTA system including vehicle, pedestrian Adult, pedestrian child, and bicycle scenarios is designed and built. In addition, three different vehicles were selected for validation tests, and the results showed that the designed scenarios can well validate the RCTA system, which is meant for testing and evaluating the RCTA system of vehicles.
With vehicles becoming a necessity for people's life and work, the vigorous development of intelligent vehicles is of great significance in today's society in order to reduce traffic accidents, lower operating costs and achieve environmentally friendly travel. Motion planning, as the functional core of intelligent driving systems, is crucial to the driving safety of intelligent vehicles. This paper introduces the development status of intelligent vehicles at home and abroad, studies the current research status of mainstream motion planning techniques, analyses the technical challenges encountered in motion planning for intelligent vehicles in urban roads, and illustrates the development goal of establishing efficient and reliable motion planning algorithms in complex scenarios.
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