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您的检索式：作者名="CUI Shengguo"
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| 1 | A Hybrid Deep Sea Navigation System of LBL/DR Integration Based on UKF and PSO-SVM显示文摘In order to improve the navigation accuracy of human occupied vehicle(HOV)precisely and efficiently,an innovative hybrid approach based on unscented Kalman filter(UKF)and support vector machine(SVM)is proposed to fuse integrated navigation data.HOV is generally equipped with long baseline(LBL)acoustic positioning system and dead reckoning(DR)as an integrated navigation system.UKF is adopted to estimate the state of the dynamic model because of its good performance in filtering nonlinear problems.An accurate and stable filtering result can be obtained when both LBL and DR are online.At the same time,SVM is utilized to train DR information with the result when LBL outrages,and the particle swarm optimization(PSO)algorithm is employed for SVM parameters optimization.Therefore,the integrated navigation system can maintain a good performance when the LBL is off-line.Simulation results with the real navigation data of Jiaolong HOV show that the methodology proposed here is able to meet the needs of HOV application. | LIU Ben LIU Kaizhou WANG Yanyan ZHAO Yang CUI Shengguo WANG Xiaohui | 2015 | 机器人2015，37，5： | 7 |
| 2 | Preparation and evaluation of poly(L-lactide-co-glycolide) (PLGA) microbubbles as a contrast agent for myocardial contrast echocardiography显示文摘 | Cui Wenjin Bei Jianzhong Wang Shengguo | 2005 | Biomed Mater Res B: Appl Biomater2005，73，： | 1 |
| 3 | Intelligent indoor metasurface robotics显示文摘Intelligent indoor robotics is expected to rapidly gain importance in crucial areas of our modern society such as at-home health care and factories.Yet,existing mobile robots are limited in their ability to perceive and respond to dynamically evolving complex indoor environments because of their inherently limited sensing and computing resources that are,moreover,traded off against their cruise time and payload.To address these formidable challenges,here we propose intelligent indoor metasurface robotics(I2MR),where all sensing and computing are relegated to a centralized robotic brain endowed with microwave perception;and I2MR’s limbs(motorized vehicles,airborne drones,etc.)merely execute the wirelessly received instructions from the brain.The key aspect of our concept is the centralized use of a computation-enabled programmable metasurface that can flexibly mold microwave propagation in the indoor wireless environment,including a sensing and localization modality based on configurational diversity and a communication modality to establish a preferential high-capacity wireless link between the I2MR’s brain and limbs.The metasurface-enhanced microwave perception is capable of realizing low-latency and high-resolution three-dimensional imaging of humans,even around corners and behind thick concrete walls,which is the basis for action decisions of the I2MR’s brain.I2MR is thus endowed with real-time and full-context awareness of its operating indoor environment.We implement,experimentally,a proof-of-principle demonstration at∼2.4 GHz,in which I2MR provides health-care assistance to a human inhabitant.The presented strategy opens a new avenue for the conception of smart and wirelessly networked indoor robotics. | Hanting Zhao Shengguo Hu Hongrui Zhang Zhuo Wang Hao Dong Philipp del Hougne Tie Jun Cui Lianlin Li | 2023 | National Science Review2023，10，8： | 0 |
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