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Research on Autonomous Capability Evaluation of Unmanned Ground Vehicles
Science Discovery
Volume 4, Issue 1, February 2016, Pages: 12-20
Received: Apr. 7, 2016; Published: Apr. 8, 2016
Views 1914      Downloads 58
Authors
Li Jing, College of Field Engineering, PLA University of Science & Technology, Nanjing Jiangsu, China
Tang Zhenmin, Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing Jiangsu, China
Tan Yefa, College of Field Engineering, PLA University of Science & Technology, Nanjing Jiangsu, China
Cai Yunfei, Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing Jiangsu, China
Liu Jiayin, Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing Jiangsu, China
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Abstract
In this paper, according to the requirements of the theory of analytic hierarchy process (AHP), in order to demonstrate its autonomy should possess the ability of elements,the ability can be divided into the perception ability, planning ability, motion control ability, behavioral ability and learning ability evaluation of five aspects.Then all sapects are decomposed step by step down for 12 evaluation key elements and 38 evaluation factors. On this basis, the technical maturity is calculated with fuzzy membership degree matrix on the evaluation of the assignment of reference. The improved G1 sequence relations and fuzzy comprehensive evaluation method are used on the system of the unilateral and total autonomy ability to combine qualitative and quantitative evaluation, by setting the different task environment. What is more, trying to prove that in order to determine the level of autonomy, there should be autonomy ability of different vehicle verification, as well as autonomy value interval distribution.
Keywords
Unmanned Ground Vehicle, Autonomous Capability Evaluation, G1 Order Relation, Fuzzy Evaluation
To cite this article
Li Jing, Tang Zhenmin, Tan Yefa, Cai Yunfei, Liu Jiayin, Research on Autonomous Capability Evaluation of Unmanned Ground Vehicles, Science Discovery. Vol. 4, No. 1, 2016, pp. 12-20. doi: 10.11648/j.sd.20160401.13
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