| Peer-Reviewed

Research on Autonomous Capability Evaluation of Unmanned Ground Vehicles

Received: 7 April 2016    Accepted:     Published: 8 April 2016
Views:       Downloads:
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.

Published in Science Discovery (Volume 4, Issue 1)
DOI 10.11648/j.sd.20160401.13
Page(s) 12-20
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Unmanned Ground Vehicle, Autonomous Capability Evaluation, G1 Order Relation, Fuzzy Evaluation

References
[1] 陈慧岩,熊光明,龚建伟.无人驾驶汽车概论[M].北京:北京理工大学出版社,2014。
[2] Hui-Min Huang, Elena Messina, James Albus. Toward a Generic Model for Autonomy Levels for Unmanned Systems(ALFUS)[C].Proceedings of the Performance Metrics for Intelligent Systems Workshop, Gaithersburg, Maryland,2003.
[3] Office of the Secretary of Defense. Unmanned Aerial Vehicles Roadmap 2000-2025[C].Technical Report. Department of Defense. Washington DC,2001.
[4] Office of the Secretary of Defense. Unmanned Aerial Vehicles Roadmap 2002-2027[C].Technical Report. Department of Defense. Washington DC,2002.
[5] Office of the Secretary of Defense.Unmanned Aircraft system Roadmap 2005-2030[C].Technical Report. Department of Defense.Washington DC,2005.
[6] Office of the Secretary of Defense,FY2009-2034 Unmanned Systems Integrated Roadmap[C].Department of Defense,Washington DC,2009.
[7] 高劲松,李慧,陈哨东.美国国防部无人系统路线图中自主性的技术演进[J].国际航空.2012,5:36-38。
[8] Reed N E. A User Controlled Approach to Adjustable Autonomy[C].Proceedings of the 38th Hawaii International Conference on System Sciences. Hawaii, USA: IEEE, 2005:185-193.
[9] Sean A L,Jonathan T B,MarcusH H,et a1.A Deontic Implementation of Adjustable Autonomy for Command and Control of Robotic Assets.UnmannedSystemsTechnology VIII,Proceedingsof SPIE,2006:1—11.
[10] 李一波,王新星,姚宗信等.无人平台自主能力分级的四指标模型[J].电光与控制,2012,10(10):34-37。
[11] 王越超,刘金国.无人系统的自主性评价方法[J].中国科学:科学通报,2012,15(15):1290-1299。
[12] 杨哲,张汝波.无人系统自主等级模糊评价方法[C].先进制造技术与工业信息学博士生学术论坛论文集,2009:2043-2047。
[13] 付瑶.评价系统的理论与实践研究[M],福建厦门:厦门大学出版社,2015。
[14] 付梦印,王美玲译.军用无人地面车辆技术的发展[M].北京:国防工业出版社,2009。
[15] 陈慧岩,熊光明,龚建伟.无人驾驶汽车概论[M].北京:北京理工大学出版社,2014。
[16] 朱淼良,杨建刚,吴春明.自主式智能系统[M].杭州:浙江大学出版社,2000。
[17] 徐吉辉,谢文俊.综合评价理论、方法与军事应用[M].北京:国防工业出版社,2014。
[18] 李刚,曹宏举,贾秀娇.基于一致性排序的群组G1赋权方法[J].统计与决策,2010(21):21-23。
[19] 王菲菲,罗日成,刘从法等.基于隶属函数-G1法的变压器状态综合评判.电气技术,2011,10:10-14。
[20] 刘艳春.一种循环修正的组合评价方法[J].数学的实践与认识,2007,37(4):88-94。
[21] 宁宝权,陕振沛.基于均值修正G1组合赋权的第三方农产品物流供应商综合评价[J].物流技术,2015(11):163-165。
[22] 于坤炎,周悦,赵祥君,等.车辆装备项目技术成熟度评估方法及应用[J].军事交通学院学报,2015,17(3):48-52。
[23] MACKEY R,SOME R, ALJABRI A. Readiness levels for spacecraft information technologies[C].Aerospace Conference, IEEE Press, 2003:1-398.
[24] 王志梅,解月江,何枫.软件产品成熟度国外相关技术综述[J].质量与可靠性,2015(5):51-55。
[25] 梁新,刘宝平,李凛然.大型武器装备系统成熟度评估及优化[J].武汉理工大学学报:信息与管理工程版,2015(3):344-348。
Cite This Article
  • APA Style

    Li Jing, Tang Zhenmin, Tan Yefa, Cai Yunfei, Liu Jiayin. (2016). Research on Autonomous Capability Evaluation of Unmanned Ground Vehicles. Science Discovery, 4(1), 12-20. https://doi.org/10.11648/j.sd.20160401.13

    Copy | Download

    ACS Style

    Li Jing; Tang Zhenmin; Tan Yefa; Cai Yunfei; Liu Jiayin. Research on Autonomous Capability Evaluation of Unmanned Ground Vehicles. Sci. Discov. 2016, 4(1), 12-20. doi: 10.11648/j.sd.20160401.13

    Copy | Download

    AMA Style

    Li Jing, Tang Zhenmin, Tan Yefa, Cai Yunfei, Liu Jiayin. Research on Autonomous Capability Evaluation of Unmanned Ground Vehicles. Sci Discov. 2016;4(1):12-20. doi: 10.11648/j.sd.20160401.13

    Copy | Download

  • @article{10.11648/j.sd.20160401.13,
      author = {Li Jing and Tang Zhenmin and Tan Yefa and Cai Yunfei and Liu Jiayin},
      title = {Research on Autonomous Capability Evaluation of Unmanned Ground Vehicles},
      journal = {Science Discovery},
      volume = {4},
      number = {1},
      pages = {12-20},
      doi = {10.11648/j.sd.20160401.13},
      url = {https://doi.org/10.11648/j.sd.20160401.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20160401.13},
      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.},
     year = {2016}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Research on Autonomous Capability Evaluation of Unmanned Ground Vehicles
    AU  - Li Jing
    AU  - Tang Zhenmin
    AU  - Tan Yefa
    AU  - Cai Yunfei
    AU  - Liu Jiayin
    Y1  - 2016/04/08
    PY  - 2016
    N1  - https://doi.org/10.11648/j.sd.20160401.13
    DO  - 10.11648/j.sd.20160401.13
    T2  - Science Discovery
    JF  - Science Discovery
    JO  - Science Discovery
    SP  - 12
    EP  - 20
    PB  - Science Publishing Group
    SN  - 2331-0650
    UR  - https://doi.org/10.11648/j.sd.20160401.13
    AB  - 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.
    VL  - 4
    IS  - 1
    ER  - 

    Copy | Download

Author Information
  • College of Field Engineering, PLA University of Science & Technology, Nanjing Jiangsu, China

  • Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing Jiangsu, China

  • College of Field Engineering, PLA University of Science & Technology, Nanjing Jiangsu, China

  • Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing Jiangsu, China

  • Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing Jiangsu, China

  • Sections