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The Entropy-Cost Function Evaluation Method for Unmanned Ground Vehicles
Joint Authors
Zhao, Ya-Nan
Meng, Kai-Wen
Gao, Li
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-20
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
To improve the technology of unmanned ground vehicles, it is necessary to conduct a proper evaluation on various technologies.
Previous evaluation methods are mainly based on completion of the task; this may mislead most of teams of unmanned ground vehicles using a conservative strategy during the evaluation.
In this paper, a new evaluation method is proposed.
Based on typical working conditions including intersection, car-following, and obstacle-avoiding, the new evaluation indicator system is established, and the entropy-cost function method is applied to the comprehensive evaluation of unmanned ground vehicles.
As reported in a numerical example, the proposed evaluation method can get a quantitative result that authentically reflects the intelligent behavior level of unmanned ground vehicles.
American Psychological Association (APA)
Zhao, Ya-Nan& Meng, Kai-Wen& Gao, Li. 2015. The Entropy-Cost Function Evaluation Method for Unmanned Ground Vehicles. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1073774
Modern Language Association (MLA)
Zhao, Ya-Nan…[et al.]. The Entropy-Cost Function Evaluation Method for Unmanned Ground Vehicles. Mathematical Problems in Engineering No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1073774
American Medical Association (AMA)
Zhao, Ya-Nan& Meng, Kai-Wen& Gao, Li. The Entropy-Cost Function Evaluation Method for Unmanned Ground Vehicles. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1073774
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073774