Research of intelligent vehicle variable granularity evaluation based on cloud model

被引：0
作者：
Gao H.-B. [1 ,2 ]
Zhang X.-Y. [2 ]
Zhang T.-L. [3 ]
Liu Y.-C. [4 ]
Li D.-Y. [1 ,3 ,4 ]
机构：
[1] State Key Laboratory of Software Development Environment, Beihang University, Beijing
[2] Information Technology Center, Tsinghua University, Beijing
[3] Department of Computer Science and Technology, Tsinghua University, Beijing
[4] The 61th Institute of Electronic System Engineering, Beijing
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2016年 / 44卷 / 02期
关键词：
Cloud model; Evaluation research; Intelligent vehicle; Variable granularity;
D O I：
10.3969/j.issn.0372-2112.2016.02.018
中图分类号：
学科分类号：
摘要：
A direct, easy-to-operate and effective evaluation method for building a qualitative and quantitative uncertainty evaluation transformation model is urgently needed for intelligent vehicle evaluation research. It has been a challenging problem facing the researchers. Based on cloud model and variable granularity, this paper describes a measurement method. First, we proposed a set of 4S variable granularity measurement system and the three-level IQ variable granularity evaluation system. Then, we transformed the qualitative assessment over the intelligent driving vehicle into a direct image quantitative evaluation via using the Expectation, the Entropy and the Hyper Entropy of cloud model, thus building an uncertainty transformation model from qualitative to quantitative. The Future Challenge 2013 was used as a case to illustrate the model. The analysis shows that in the qualitative and quantitative evaluation, the Expectation, Entropy and Hyper Entropy based on cloud model is the basis of qualitative-evaluation of quantitative evaluation. Moreover, the intelligent vehicle evaluation based on cloud model and variable granularity can efficiently solve the multi-objective particle size measurement of evaluation and descriptive qualitative evaluation of quantitative evaluation, thereby providing solutions to the evaluation of a class of intelligent vehicle research. © 2016, Chinese Institute of Electronics. All right reserved.
引用
收藏
页码：365 / 373
页数：8
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