期刊文献+

Current Status of Intelligent Space 被引量:1

Current Status of Intelligent Space
下载PDF
导出
摘要 Latest advances in network sensor technology and state of the art of mobile robotics and artificial intelligence research can be applied to develop autonomous and distributed monitoring systems. Intelligent Space (iSpace) is an environmental system, which is able to support human in informative and physical ways. iSpace observing the space with distributed sensors, extracts useful information from the obtained data and provides various services to users. This means that essential functions of iSpace are "observation", "recognition" and "actuation." In this paper, we focus on the observation function of iSpace. And we describe observation systems to get information of both human and mobile agents in the space to show new results.
出处 《Journal of Measurement Science and Instrumentation》 CAS 2010年第1期86-92,共7页 测试科学与仪器(英文版)
关键词 current status intelligent space network sensor technology 智能空间 分布式监控系统 分布式传感器 信息显示 移动代理 机器人技术 人工智能 网络技术
  • 相关文献

参考文献11

  • 1Joo-Ho Lee,Hideki Hashimoto.Intelligent Space — concept and contents[J].Advanced Robotics.2002(3) 被引量:1
  • 2M.Niitsuma,,H.Hashimoto.Observation of human ac-tivities based on spatial memory inintelligent space[].Journal of Robotic Systems.2009 被引量:1
  • 3M.Niitsuma,K.Yokoi,H.Hashimoto.Describing Hu-man-Object Interaction in Intelligent Space[].nd IntConfon Human SystemInteraction.2009 被引量:1
  • 4.Xsens.MTx[].. 被引量:1
  • 5L.Palafox,,H.Hashimoto.A Compressive Sensing Ap-proach to the4W1H Architecture[].IEEE-ICITIntConfonIndustrial Technology.2010 被引量:1
  • 6L.Palafox,,H.Hashimoto.A Movement Profile Detec-tion System Using Self Organized Maps in the Intelligent Space[].IEEE Workshop on Advanced Robotics and its Social Impacts.2009 被引量:1
  • 7L.A.Jeni,,Gy.Florea,,A.Lorincz.InfoMax bayesian learning of the furuta pendulum[].Acta Cybernetica.2008 被引量:1
  • 8K.Nakamura,,H.Zhao,,R.Shibasaki,,K.Sakamoto,,T.Ohga,,N.Suzukawa.Tracking pedestrians using mul-tiplesingle-rowlaser rangescanners andits reliability evalu-ation[].Systems and Computers inJapan.2006 被引量:1
  • 9X.Shao,,H.Zhao,,K.Nakamura,,K.Katabira,,R.Shibasaki,,Y.Nakagawa.Detection and Tracking of Multiple Pe-destrians by Using Laser Range Scanners[].IEEE/RSJ IntConfonIntelligent Robots and Systems.2007 被引量:1
  • 10H.Tamura,,T.Sasaki,,H.Hashimoto,,F.Inoue.Circle Fitting Based Position Measurement System Using Laser Range Finder in Construction Fields[].IEEE/RSJ IntConfonIntelligent Robots and Systems.2010 被引量:1

同被引文献14

  • 1XIAO L Y,GAO F.A comprehensive review of the development of adaptive cruise control(ACC)systems[J].Vehicle system dynamics,2010,48(10):1167-1192. 被引量:1
  • 2CRISMAN B J,THORPE C.Color vision for road following,vision and navigation:the carnegie mellon Navlab[M].US:Vision and Navigation,2010:9-24. 被引量:1
  • 3肖凌云.基于典型信息框架的自动车队分布式控制与队列稳定性分析[D].北京:北京航空航天大学,2011. 被引量:1
  • 4TANG X,GAO F,XU G,et al.Distributed model predictive control over multiple groups of vehicles in highway intelligent space for large scale system[J].Mathematical problems in engineering,2014,2014(3):1-12. 被引量:1
  • 5TANG X,GAO F,XU G,et al.Vehicle driving dynamics prediction based on highway intelligent space-vehicle framework theory[J].Journal of Jilin university(engineering and technology edition),2015,45(5):1395-1401. 被引量:1
  • 6TANG X,GAO F,XU G,et al.Sensor systems for vehicle environment perception in a highway intelligent space system[J].Sensors,2014,14(5):8513-8527. 被引量:1
  • 7GAO F,LIU J,XU G,et al.Vehicle state detection in highway intelligent space based on information fusion[C]//The Twelfth COTA International Conference of Transportation Professionals.2012:2307-2318. 被引量:1
  • 8马明明.基于视觉的多点车辆行驶状态跟踪[D].北京:北京航空航天大学,2012. 被引量:1
  • 9董红召,陈炜烽,郭明飞,陈宁.基于车路一体化的车辆主动避撞系统关键技术的研究[J].汽车工程,2010,32(11):984-988. 被引量:15
  • 10陈虹,宫洵,胡云峰,刘奇芳,高炳钊,郭洪艳.汽车控制的研究现状与展望[J].自动化学报,2013,39(4):322-346. 被引量:98

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部