Intelligent vehicle(Ⅳ)technology has developed rapidly in recent years.However,achieving fully unmanned driving still presents numerous challenges,which means that human drivers will continue to play a vital role in ...Intelligent vehicle(Ⅳ)technology has developed rapidly in recent years.However,achieving fully unmanned driving still presents numerous challenges,which means that human drivers will continue to play a vital role in vehicle operation for the foreseeable future.Human-machine shared driving,involving cooperation between a human driver and an automated driving system(AVS),has been widely regarded as a necessary stage for the development of IVs.Focusing onⅣdriving safety,this study proposed a human-machine shared lateral control strategy(HSLCS)based on the reliability of driver risk perception.The HSLCS starts by identifying the effective areas of driver risk perception based on eye movements.It establishes an anisotropic driving risk field,which serves as the foundation for the AVS to assess risk levels.Building upon the cumulative and diminishing effects of risk perception,the proposed approach leverages the driver's risk perception effective area and converts the risk field into a representation aligned with the driver's perspective.Subsequently,it quantifies the reliability of the driver's risk perception by using area-matching rules.Finally,based on the driver’s risk perception reliability and dif-ferences in lateral driving operation between the human driver and the AVS,the dynamic distribution of driving authority is achieved through a fuzzy rule-based system,and the human-machine shared lateral control is completed by using model predictive control.The HSLCS was tested across various scenarios on a driver-in-the-loop test platform.The results show that the HSLCS can realize the synergy and complementarity of human and machine intelligence,effectively ensuring the safety ofⅣoperation.展开更多
Baoding Tianwei Baobian Electric Co.,Ltd.(Tianwei Baobian,SH:600550) announced on June 4th that it plans to allot 1.4-1.8 shares per 10 shares to all shareholders based on the total capital stock of 1 168.0million dom...Baoding Tianwei Baobian Electric Co.,Ltd.(Tianwei Baobian,SH:600550) announced on June 4th that it plans to allot 1.4-1.8 shares per 10 shares to all shareholders based on the total capital stock of 1 168.0million domestic shares.The scheme is sub-ject to approval by its shareholders and rel-evant authority regulations.The companyplans to implement the scheme in the展开更多
Tycoon Wang Jianlin shares the secrets of his success in his best-selling biography One of Asia’s richest people,Wang Jianlin,who made a fortune with his giant real estate firm,Dalian Wanda,is now on a course to chan...Tycoon Wang Jianlin shares the secrets of his success in his best-selling biography One of Asia’s richest people,Wang Jianlin,who made a fortune with his giant real estate firm,Dalian Wanda,is now on a course to change the world of entertainment and sports.展开更多
基金supported by the National Natural Science Foundation of China under Grant 52172386the National Natural Science Foundation of China under Grant U22A20247+1 种基金the Jilin Province Science and Technology Development Plan Projects under Grant 20210101057JCthe Jilin Provincial Department of Science and Technology under Grant 20220301009GX.
文摘Intelligent vehicle(Ⅳ)technology has developed rapidly in recent years.However,achieving fully unmanned driving still presents numerous challenges,which means that human drivers will continue to play a vital role in vehicle operation for the foreseeable future.Human-machine shared driving,involving cooperation between a human driver and an automated driving system(AVS),has been widely regarded as a necessary stage for the development of IVs.Focusing onⅣdriving safety,this study proposed a human-machine shared lateral control strategy(HSLCS)based on the reliability of driver risk perception.The HSLCS starts by identifying the effective areas of driver risk perception based on eye movements.It establishes an anisotropic driving risk field,which serves as the foundation for the AVS to assess risk levels.Building upon the cumulative and diminishing effects of risk perception,the proposed approach leverages the driver's risk perception effective area and converts the risk field into a representation aligned with the driver's perspective.Subsequently,it quantifies the reliability of the driver's risk perception by using area-matching rules.Finally,based on the driver’s risk perception reliability and dif-ferences in lateral driving operation between the human driver and the AVS,the dynamic distribution of driving authority is achieved through a fuzzy rule-based system,and the human-machine shared lateral control is completed by using model predictive control.The HSLCS was tested across various scenarios on a driver-in-the-loop test platform.The results show that the HSLCS can realize the synergy and complementarity of human and machine intelligence,effectively ensuring the safety ofⅣoperation.
文摘Baoding Tianwei Baobian Electric Co.,Ltd.(Tianwei Baobian,SH:600550) announced on June 4th that it plans to allot 1.4-1.8 shares per 10 shares to all shareholders based on the total capital stock of 1 168.0million domestic shares.The scheme is sub-ject to approval by its shareholders and rel-evant authority regulations.The companyplans to implement the scheme in the
文摘Tycoon Wang Jianlin shares the secrets of his success in his best-selling biography One of Asia’s richest people,Wang Jianlin,who made a fortune with his giant real estate firm,Dalian Wanda,is now on a course to change the world of entertainment and sports.
