An enterprise manifests the epitome of a country and concentrates the essence of an era.From a small cotton mill with less than 300 employees in the past to the world’s largest manufacturer of yarn-dyed fabrics-this ...An enterprise manifests the epitome of a country and concentrates the essence of an era.From a small cotton mill with less than 300 employees in the past to the world’s largest manufacturer of yarn-dyed fabrics-this is Luthai Textile Co.,Ltd.If 10 years is regarded as a benchmark,in Luthai’s more than 30 years of development,the first 10 years lays a development foundation with the originality quality of its products in the first 10 years,consolidates its position in the industry with its continuous pursuit of innovation in the middle 10 years,and opens up a vast world with innovative and enterprising designs in the latest 10 years.展开更多
With the completion of the Chinese space station,an increasing number of extravehicular activities will be executed by astronauts,which is regarded as one of the most dangerous activities in human space exploration.To...With the completion of the Chinese space station,an increasing number of extravehicular activities will be executed by astronauts,which is regarded as one of the most dangerous activities in human space exploration.To guarantee the safety of astronauts and the successful accomplishment of missions,it is vital to determine the pose of astronauts during extravehicular activities.This article presents a monocular vision-based pose estimation method of astronauts during extravehicular activities,making full use of the available observation resources.First,the camera is calibrated using objects of known structures,such as the spacesuit backpack or the circular handrail outside the space station.Subsequently,the pose estimation is performed utilizing the feature points on the spacesuit.The proposed methods are validated both on synthetic and semi-physical simulation experiments,demonstrating the high precision of the camera calibration and pose estimation.To further evaluate the performance of the methods in real-world scenarios,we utilize image sequences of Shenzhou-13 astronauts during extravehicular activities.The experiments validate that camera calibration and pose estimation can be accomplished solely with the existing observation resources,without requiring additional complicated equipment.The motion parameters of astronauts lay the technological foundation for subsequent applications such as mechanical analysis,task planning,and ground training of astronauts.展开更多
文摘An enterprise manifests the epitome of a country and concentrates the essence of an era.From a small cotton mill with less than 300 employees in the past to the world’s largest manufacturer of yarn-dyed fabrics-this is Luthai Textile Co.,Ltd.If 10 years is regarded as a benchmark,in Luthai’s more than 30 years of development,the first 10 years lays a development foundation with the originality quality of its products in the first 10 years,consolidates its position in the industry with its continuous pursuit of innovation in the middle 10 years,and opens up a vast world with innovative and enterprising designs in the latest 10 years.
基金supported by Hunan Provincial Natural Science Foundation for Excellent Young Scholars(Grant No.2023JJ20045)the Science Foundation(Grant No.KY0505072204)+1 种基金the Foundation of National Key Laboratory of Human Factors Engineering(Grant Nos.GJSD22006,6142222210401)the Foundation of China Astronaut Research and Training Center(Grant No.2022SY54B0605)。
文摘With the completion of the Chinese space station,an increasing number of extravehicular activities will be executed by astronauts,which is regarded as one of the most dangerous activities in human space exploration.To guarantee the safety of astronauts and the successful accomplishment of missions,it is vital to determine the pose of astronauts during extravehicular activities.This article presents a monocular vision-based pose estimation method of astronauts during extravehicular activities,making full use of the available observation resources.First,the camera is calibrated using objects of known structures,such as the spacesuit backpack or the circular handrail outside the space station.Subsequently,the pose estimation is performed utilizing the feature points on the spacesuit.The proposed methods are validated both on synthetic and semi-physical simulation experiments,demonstrating the high precision of the camera calibration and pose estimation.To further evaluate the performance of the methods in real-world scenarios,we utilize image sequences of Shenzhou-13 astronauts during extravehicular activities.The experiments validate that camera calibration and pose estimation can be accomplished solely with the existing observation resources,without requiring additional complicated equipment.The motion parameters of astronauts lay the technological foundation for subsequent applications such as mechanical analysis,task planning,and ground training of astronauts.
