浏览全部资源
扫码关注微信
[ "杨旸(1974-),男,博士,中国科学院上海微系统与信息技术研究所教授、博士生导师,IEEE Fellow,主要研究方向为无线传感器网络(物联网)、新一代移动通信系统(5G)、雾计算与网络技术、开放无线测试验证平台等。" ]
[ "李凯(1973-),男,中国科学院上海微系统与信息技术研究所高级工程师,主要研究方向为雾计算试验床、5G系统仿真。" ]
[ "徐海东(1973-),男,中国科学院上海微系统与信息技术研究所工程师,主要研究方向为软件定义无线网络。" ]
[ "王华俊(1987-),女,中国科学院上海微系统与信息技术研究所工程师,主要研究方向为5G通信系统仿真。" ]
[ "王昆仑(1987-),男,博士,中国科学院上海微系统与信息技术研究所助理研究员,主要研究方向为雾计算和5G通信系统。" ]
[ "李剑(1976-),男,中国科学院上海微系统与信息技术研究所工程师,主要研究方向为雾计算试验床。" ]
[ "周明拓(1977-),男,博士,中国科学院上海微系统与信息技术研究所研究员,主要研究方向为雾计算架构、工业互联网和无线传感网。" ]
纸质出版日期:2018-06-30,
网络出版日期:2018-06,
移动端阅览
杨旸, 李凯, 徐海东, 等. 雾计算赋能机器人同步定位与地图构建[J]. 物联网学报, 2018,2(2):33-40.
YANG YANG, KAI LI, HAIDONG XU, et al. Fog computing-enabled robot simultaneous localization and mapping. [J]. Chinese journal on internet of things, 2018, 2(2): 33-40.
杨旸, 李凯, 徐海东, 等. 雾计算赋能机器人同步定位与地图构建[J]. 物联网学报, 2018,2(2):33-40. DOI: 10.11959/j.issn.2096-3750.2018.00050.
YANG YANG, KAI LI, HAIDONG XU, et al. Fog computing-enabled robot simultaneous localization and mapping. [J]. Chinese journal on internet of things, 2018, 2(2): 33-40. DOI: 10.11959/j.issn.2096-3750.2018.00050.
机器人探索预先未知的环境时通常需要同步定位和地图构建(SLAM),例如,在救援场景中,可以利用雾计算这种新兴的计算模式来实现更快、更精确、更节能的机器人SLAM。基于此,提出了雾计算赋能机器人SLAM的框架设计,并分析了其面临的挑战,最后通过真实试验床演示了该框架设计。
Robot simultaneous localization and mapping (SLAM) is often required when robots are used to explore prior-unknown environment
e.g.
in rescue scenarios.Fog computing
an emerging computing mode could be used to enable faster
more accurate
speedier
and energy-saved robot SLAM.The framework of fog-enabled robot SLAM addressing was proposed
and challenges it faced were analyzed.Finally
technologies by real implementation of testbed were demonstrated.
雾计算机器人同步定位和地图构建
fog computingrobotsimultaneous location and mapping
CADENA C, CARLONE L, CARRILLO H ,et al. Simultaneous localization and mapping:present,future,and the robust-perception age[J]. IEEE Transactions on Robotics, 2016,32(6): 1309-1332.
OpenFog.OpenFog reference architecture for fog computing[R]. 2017.
DASTJERDI A V, GUPTA H, CALHEIROS R N ,et al. Fog computing:principles,architectures,and applications[J]. arXiv Preprint,arXiv:1601.02752, 2016.
HOU X S, LI Y, CHEN M ,et al. Vehicular fog computing:a viewpoint of vehicles as the infrastructures[J]. IEEE Transactions on Vehicular Technology, 2016,65(6): 3860-3873.
DEY S, MUKHERJEE A . Robotic slam:a review from fog computing and mobile edge computing perspective[C]// The 13th International Conference on Mobile and Ubiquitous Systems:Computing Networking and Services. 2016: 153-158.
DEY S, MUKHERJEE A . Robotic SLAM - a review from fog computing and mobile edge computing perspective[C]// MOBIQUITOUS ’16 Adjunct Proceedings. 2016: 153-158.
YANG Y, ZHAO S, ZHANG W ,et al. DEBTS:delay energy balanced task scheduling in homogeneous fog networks[J]. IEEE Internet of Things Journal, 2018,PP(99):1.
ZHAO S, YANG Y, SHAO Z ,et al. FEMOS:fog-enabled multi-tier operations scheduling in dynamic wireless networks[J]. IEEE Internet of Things Journal, 2018,5(2): 1169-1183.
DINH T Q, TANG J, LA Q D ,et al. Offloading in mobile edge computing:task allocation and computational frequency scaling[J]. IEEE Transactions on Communications, 2017,65(8): 3571-3584.
WANG J, XU J, YANG Y ,et al. GPP based open cellular network towards 5G[J]. China Communications, 2017,14(6): 189-198.
CHEN X, JIAO L, LI W ,et al. Efficient multi-user computation offloading for mobile-edge cloud computing[J]. IEEE Transactions on Networking, 2016,24(5): 2795-2808.
PU L, CHEN X, XU J ,et al. D2D fogging:an energy-efficient and incentive-aware task offloading framework via network-assisted D2D collaboration[J]. IEEE Journal on Selected Areas in Communications, 2016,34(12): 3887-3901.
0
浏览量
1332
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构