With the increasing number of automobiles in China, the safety performance of vehicle has become significant. Advanced Driving Assist System (ADAS) is able to reduce the traffic accident. China New Car Assessment Program (C-NCAP) promotes active safety technologies from the aspect of test. However, in C-NCAP, Autonomous Braking System (AEB) is primarily considered. Therefore, China Intelligent-connected Car Assessment Program (C-ICAP) is proposed to comprehensively test the driving assist functions with longitudinal and lateral control. Based on the basic driving assist part of C-ICAP, this study conducts 3 sets of tests to evaluate the performance of the vehicles with ADAS. Moreover, the feasibility and rationality of the test scenarios are evaluated according to the results.
In the process of straw utilization, there are some unreasonable factors and remote sensing image can help to solve the problem of straw storage site selection. A model mainly considering the location and yield of crops, together with relevant assumptions and constraints, is established. As an efficient tool to solve complex non-linear problems, the improved Immune Algorithm is proposed and utilized. Taking a remote sensing image in Xian County in China as an example, one, two and three straw storage site(s) are located respectively using the proposed method, which is proven to be effective.
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