Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (4): 771-784.doi: 10.23919/JSEE.2022.000077

• CLOUD CONTROL SYSTEMS •     Next Articles

A semantic-centered cloud control framework for autonomous unmanned system

Weijian PANG1,2(), Hui LI1(), Xinyi MA1,3(), Hailin ZHANG1()   

  1. 1 Academy of Military Sciences , Beijing 100091, China
    2 Beijing Aeronautical Engineering Technology Research Center, Beijing 100076, China
    3 Air Forces Command College, Beijing 100097, China
  • Received:2022-02-14 Online:2022-08-30 Published:2022-08-30
  • About author:|PANG Weijian was born in 1986. He received his B.S. degree in radar engineering and M.S. degree in electronic science and technology from Air Force Engineering University , Xi’an, China, in 2009 and 2014 respectively. He is currently a doctoral candidate of the Academy of Military Sciences. His research interests are military operational research, and military application of intelligent unmanned systems theory and technology. E-mail: pangweijian2013@163.com||LI Hui was born in 1964. He received his M.S. degree in military thoughts from the Academy of Military Sciences, Beijing, China, in 1993. He is currently a researcher of the Academy of Military Sciences. His research interests are military operational research and military assessment. E-mail: 13391883525@189.sina.com||MA Xinyi was born in 1984. She received her B.S. degree in computer science and technology and M.S. degree in software engineering from Beihang University, Beijing, China, in 2006 and 2010 respectively. She is currently a doctoral candidate of the Academy of Military Sciences. Her research interests are military operational research and causal inference in military applacations. E-mail: cynthiacatmm@163.com||ZHANG Hailin was born in 1985. He received his B.S. degree in radar engineering, and M.S. and Ph.D. degrees in science of military equipment from Air Force Engineering University, Xi’an, China, in 2007, 2009 and 2015 respectively. He is currently a researcher of the Academy of Military Sciences. His research interests are military operational research and strategic assessment of military issues. E-mail: zhanghailin0350@163.com
  • Supported by:
    This work was supported by the National Defense Science and Technology Innovation Zone of China (193-A13-203-01-01) and the Military Science Postgraduate Project of PLA (JY2020B006)

Abstract:

Rich semantic information in natural language increases team efficiency in human collaboration, reduces dependence on high precision data information, and improves adaptability to dynamic environment. We propose a semantic centered cloud control framework for cooperative multi-unmanned ground vehicle (UGV) system. Firstly, semantic modeling of task and environment is implemented by ontology to build a unified conceptual architecture, and secondly, a scene semantic information extraction method combining deep learning and semantic web rule language (SWRL) rules is used to realize the scene understanding and task-level cloud task cooperation. Finally, simulation results show that the framework is a feasible way to enable autonomous unmanned systems to conduct cooperative tasks.

Key words: scene understanding, cloud control, ontology, autonomous cooperation