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Research on an Intelligent Behavior Evaluation System for Unmanned Ground Vehicles

Author

Listed:
  • Yang Sun

    (College of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan 056038, China)

  • He Yang

    (College of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan 056038, China)

  • Fei Meng

    (Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China)

Abstract

A scientific and reasonable evaluation system for unmanned ground vehicles (UGVs) is very important. This paper studies the intelligent behavior of UGVs, and also proposes a comprehensive evaluation system for this intelligent behavior. The test and evaluation system includes the test content design, the test environment design, the test methods and the evaluation method. Using a hierarchical design approach, the test content is designed to be stage by stage, moving from simplicity to complexity and from individual modules to the entire vehicle. The hierarchical test environment is established according to the test content levels. The extension analytic hierarchy process (EAHP) has a better advantage than the analytic hierarchy process (AHP) to avoid the problem of the ambiguity of expert experience judgment and the consistency of the judgment matrix in determine the weight of each evaluation index. Using chaos theory to calculate the Lyapunov index, the quality of the trajectory of the UGV is characterized. The grey relational analysis method is used to analyze the correlation between the comparison series and the reference series, and a comprehensive quantitative result of the intelligent behavior of the UGV is obtained. The experiment shows that the intelligent behavior evaluation system of the UGV is scientific and effective.

Suggested Citation

  • Yang Sun & He Yang & Fei Meng, 2018. "Research on an Intelligent Behavior Evaluation System for Unmanned Ground Vehicles," Energies, MDPI, vol. 11(7), pages 1-22, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1764-:d:156268
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    References listed on IDEAS

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    2. Lihe Xi & Xin Zhang & Chuanyang Sun & Zexing Wang & Xiaosen Hou & Jibao Zhang, 2017. "Intelligent Energy Management Control for Extended Range Electric Vehicles Based on Dynamic Programming and Neural Network," Energies, MDPI, vol. 10(11), pages 1-18, November.
    3. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    4. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
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    Cited by:

    1. Xuewen Zhang & Qi Zhan & Wei Zhou & Zhichao Liu, 2023. "A Comprehensive Evaluation of Vehicle Intelligent Barrier Avoidance Function under Special Roads Based on G1-CRITIC," Sustainability, MDPI, vol. 15(15), pages 1-16, August.

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