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Compared with the scenarios on expressway or in closed area (such as a park or a port), urban driving scenarios is more complex and diverse, and challenges automated driving (AD) function more. Meanwhile the lack of urban scenario analysis, especially urban collision risk scenario analysis, leads to slow development of vehicles with AD functions in city, in order to boost evolution of automated vehicles (AVs) in city, field operational test (FOT) need to be carried out in cities. In this paper, urban collision risk scenarios (UCRS) in China, based upon a small scale of FOT on Autonomous Emergency Braking System (AEBs), were analyzed. Despite of road types, weather conditions and light conditions, the UCRS collected in Tianjin, Chongqing and Hefei, China were classified into six categories. The vehicle under test (VUT) in the first four scenario categories all moves straight forward, while the target behaves differently, from more to less, the first is a target car in front of VUT brakes suddenly, just similar with car to car braking (CCRb) scenario defined in Euro-NCAP, the second is a two-wheeled target ahead crosses the street, especially oblique crossing, the third is a target car comes the other way straightly, the fourth is target persons (most time more than one person) walk in front of VUT, the fifth scenario is that VUT goes through an intersection, while an oncoming target car turns left, or VUT makes a turn at intersection, while a target car goes straight, the last scenario is that VUT cuts out and conflicts with the car ahead or a target car cuts in VUTâs path suddenly. At last the UCRS were remodeled in simulation and high fidelity was reached via comparison with real videos. Results from this paper fulfills the rising demand for urban automated driving function development.