The scene matching navigation is a research focus in the field of autonomous navigation,but the real-time performance of image matching algorithm is difficult to meet the needs of real navigation systems.Therefore,thi...The scene matching navigation is a research focus in the field of autonomous navigation,but the real-time performance of image matching algorithm is difficult to meet the needs of real navigation systems.Therefore,this paper proposes a fast image matching algorithm.The algorithm improves the traditional line segment extraction algorithm and combines with the Delaunay triangulation method.By combining the geometric features of points and lines,the image feature redundancy is reduced.Then,the error with confidence criterion is analyzed and the matching process is completed.The simulation results show that the proposed algorithm can still work within 3°rotation and small scale variation.In addition,the matching time is less than 0.5 s when the image size is 256 pixel×256 pixel.The proposed algorithm is suitable for autonomous navigation systems with multiple feature distribution and higher real-time requirements.展开更多
基于群数据的科学研究在医学健康照护领域备受关注。群数据指由多个数据集组成的数据集群。群数据具有明显的群特性,即不同数据集间个体的异质性。为了规范基于群数据的研究报告模式,研究人员于2022年11月在The BMJ发表了“Transparent ...基于群数据的科学研究在医学健康照护领域备受关注。群数据指由多个数据集组成的数据集群。群数据具有明显的群特性,即不同数据集间个体的异质性。为了规范基于群数据的研究报告模式,研究人员于2022年11月在The BMJ发表了“Transparent reporting of multivariable prediction models developed or validated using clustered data:TRIPOD‑Cluster checklist”(TRIPOD‑Cluster指南清单)。本文对该指南清单的关键内容进行了解读和评述,旨在促进对该指南清单的正确理解和应用。同时,从基于群数据模型的异质性和因果可解释性两个方面对该指南清单进行了拓展和延伸。展开更多
基金supported by the Fundation of Graduate Innovation Center in Nanjing University of Aeronautics and Astronautics (No.kfjj20191506)
文摘The scene matching navigation is a research focus in the field of autonomous navigation,but the real-time performance of image matching algorithm is difficult to meet the needs of real navigation systems.Therefore,this paper proposes a fast image matching algorithm.The algorithm improves the traditional line segment extraction algorithm and combines with the Delaunay triangulation method.By combining the geometric features of points and lines,the image feature redundancy is reduced.Then,the error with confidence criterion is analyzed and the matching process is completed.The simulation results show that the proposed algorithm can still work within 3°rotation and small scale variation.In addition,the matching time is less than 0.5 s when the image size is 256 pixel×256 pixel.The proposed algorithm is suitable for autonomous navigation systems with multiple feature distribution and higher real-time requirements.
文摘基于群数据的科学研究在医学健康照护领域备受关注。群数据指由多个数据集组成的数据集群。群数据具有明显的群特性,即不同数据集间个体的异质性。为了规范基于群数据的研究报告模式,研究人员于2022年11月在The BMJ发表了“Transparent reporting of multivariable prediction models developed or validated using clustered data:TRIPOD‑Cluster checklist”(TRIPOD‑Cluster指南清单)。本文对该指南清单的关键内容进行了解读和评述,旨在促进对该指南清单的正确理解和应用。同时,从基于群数据模型的异质性和因果可解释性两个方面对该指南清单进行了拓展和延伸。
