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您的检索式：作者名="Linhuan Song"
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| 1 | Hazard-evaluation-oriented Moving Horizon Parallel Steering Control for Driver-Automation Collaboration During Automated Driving显示文摘Prompted by emerging developments in connected and automated vehicles, parallel steering control, one aspect of parallel driving, has become highly important for intelligent vehicles for easing the burden and ensuring the safety of human drivers. This paper presents a parallel steering control framework for an intelligent vehicle using moving horizon optimization.The framework considers lateral stability, collision avoidance and actuator saturation and describes them as constraints, which can blend the operation of a human driver and a parallel steering controller effectively. Moreover, the road hazard and the steering operation error are employed to evaluate the operational hazardous of an intelligent vehicle. Under the hazard evaluation,the intelligent vehicle will be mainly operated by the human driver when the vehicle operates in a safe and stable manner.The automated steering driving objective will play an active role and regulate the steering operations of the intelligent vehicle based on the hazard evaluation. To verify the effectiveness of the proposed hazard-evaluation-oriented moving horizon parallel steering control approach, various validations are conducted, and the results are compared with a parallel steering scheme that does not consider automated driving situations. The results illustrate that the proposed parallel steering controller achieves acceptable performance under both conventional conditions and hazardous conditions. | Hongyan Guo Linhuan Song Jun Liu Fei-Yue Wang Dongpu Cao Hong Chen Chen Lv Partick Chi-Kwong Luk | 2018 | IEEE/CAA Journal of Automatica Sinica2018，5，6： | 8 |
| 2 | Driver-automation shared steering control for highly automated vehicles显示文摘A model predictive control(MPC)-based shared steering framework for intelligent vehicles is proposed in this paper.The road boundary and vehicle stability boundary are regarded as the safe envelope,and the tradeoff between the freedom of driver operation and safety assurance of intelligent vehicles is made within this safe envelope.Under this cooperative steering framework,the reliability of drivers is analyzed in dangerous situations and in the predictive time domain,and two improved schemes are proposed.Under the two improved schemes,the weight of the control objective can be adaptively changed according to the results of the threat assessment and predetermined strategy.At the same time,an evaluation index named control intervention rate and risk rate is proposed to evaluate the designed human-vehicle cooperation scheme.The simulation results show that the performance of the two improved schemes in ensuring the safety of intelligent vehicles has been improved. | Jun LIU Hongyan GUO Linhuan SONG Qikun DAI Hong CHEN | 2020 | Science China(Information Sciences)2020，63，9： | 6 |
| 3 | Description of the First Strain of 2019-nCoV,C-Tan-nCoV Wuhan Strain-National Pathogen Resource Center,China,2020显示文摘The recent outbreak of novel coronavirus-infected pneumonia(NCIP)in China(1)has attracted much attention domestically and internationally.As the outbreak occurred,China carried out emergency responses quickly,notified the World Health Organization(WHO)in a timely manner,and shared the viral gene sequence with international communities immediately after pathogenic identification. | Qiang Wei Yanhai Wang Juncai Ma Jun Han Mengnan Jiang Li Zhao Fei Ye Jingdong Song Bo Liu Linhuan Wu Wenjie Tan Guizhen Wu George FGao Jianjun Liu | 2020 | China CDC weekly2020，2，6： | 5 |
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